From 44333834cb0200dd49c0f334107e2f50612c9476 Mon Sep 17 00:00:00 2001
From: LukasMasuch
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βοΈBSL-1.0
- MXNet (π₯38 Β· β 21K Β· π) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2
-- MindsDB (π₯34 Β· β 21K) - The platform for customizing AI from enterprise data. βοΈlibpng-2.0
+- MindsDB (π₯34 Β· β 22K) - The platform for customizing AI from enterprise data. βοΈlibpng-2.0
- Chainer (π₯33 Β· β 5.9K Β· π) - A flexible framework of neural networks for deep learning. MIT
- Turi Create (π₯32 Β· β 11K Β· π) - Turi Create simplifies the development of custom machine.. BSD-3
- TFlearn (π₯32 Β· β 9.6K Β· π) - Deep learning library featuring a higher-level API for TensorFlow. MIT
@@ -785,7 +785,7 @@ _General-purpose machine learning and deep learning frameworks._
- xLearn (π₯24 Β· β 3.1K Β· π) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2
- NeuPy (π₯24 Β· β 740 Β· π) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT
- neon (π₯22 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
-- elegy (π₯19 Β· β 460 Β· π) - A High Level API for Deep Learning in JAX. MIT
+- elegy (π₯19 Β· β 470 Β· π) - A High Level API for Deep Learning in JAX. MIT
- StarSpace (π₯16 Β· β 3.9K Β· π) - Learning embeddings for classification, retrieval and ranking. MIT
- nanodl (π₯15 Β· β 260) - A Jax-based library for designing and training transformer models from.. MIT
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- Pandas-Bokeh (π₯24 Β· β 880 Β· π) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT
- PandasGUI (π₯23 Β· β 3.1K) - A GUI for Pandas DataFrames. βοΈMIT-0
-- pivottablejs (π₯23 Β· β 670 Β· π) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT
+- pivottablejs (π₯23 Β· β 680 Β· π) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT
- joypy (π₯22 Β· β 540 Β· π) - Joyplots in Python with matplotlib & pandas. MIT
- vegafusion (π₯21 Β· β 300) - Serverside scaling for Vega and Altair visualizations. BSD-3
-- PyWaffle (π₯20 Β· β 570 Β· π) - Make Waffle Charts in Python. MIT
+- PyWaffle (π₯20 Β· β 580 Β· π) - Make Waffle Charts in Python. MIT
- animatplot (π₯18 Β· β 400 Β· π) - A python package for animating plots build on matplotlib. MIT
- pdvega (π₯16 Β· β 340 Β· π) - Interactive plotting for Pandas using Vega-Lite. MIT
- data-describe (π₯15 Β· β 300 Β· π) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2
- nx-altair (π₯15 Β· β 220 Β· π) - Draw interactive NetworkX graphs with Altair. MIT
-- nptsne (π₯13 Β· β 32 Β· π) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
+- nptsne (π₯12 Β· β 32 Β· π) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
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huggingface
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- english-words (π₯28 Β· β 10K Β· π) - A text file containing 479k English words for all your.. Unlicense
- vaderSentiment (π₯28 Β· β 4.3K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
-- fastNLP (π₯28 Β· β 3K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
- langid (π₯28 Β· β 2.2K Β· π) - Stand-alone language identification system. BSD-3
+- fastNLP (π₯27 Β· β 3K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
+- polyglot (π₯27 Β· β 2.3K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
- textacy (π₯27 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
-- flashtext (π₯26 Β· β 5.5K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
-- polyglot (π₯26 Β· β 2.3K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
+- flashtext (π₯26 Β· β 5.6K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
- underthesea (π₯26 Β· β 1.3K Β· π€) - Underthesea - Vietnamese NLP Toolkit. βοΈGPL-3.0
-- PyText (π₯25 Β· β 6.3K Β· π) - A natural language modeling framework based on PyTorch. BSD-3
- Snips NLU (π₯25 Β· β 3.9K Β· π) - Snips Python library to extract meaning from text. Apache-2
- neuralcoref (π₯25 Β· β 2.8K Β· π) - Fast Coreference Resolution in spaCy with Neural Networks. MIT
- sense2vec (π₯25 Β· β 1.6K Β· π) - Contextually-keyed word vectors. MIT
-- pySBD (π₯25 Β· β 730 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
+- pySBD (π₯25 Β· β 740 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
- whoosh (π₯25 Β· β 540 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
+- PyText (π₯24 Β· β 6.3K Β· π) - A natural language modeling framework based on PyTorch. BSD-3
- textgenrnn (π₯24 Β· β 4.9K Β· π) - Easily train your own text-generating neural network of any.. MIT
- MatchZoo (π₯24 Β· β 3.8K Β· π) - Facilitating the design, comparison and sharing of deep.. Apache-2
- Kashgari (π₯23 Β· β 2.4K Β· π) - Kashgari is a production-level NLP Transfer learning.. Apache-2
@@ -2220,13 +2220,13 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- NLP Architect (π₯21 Β· β 2.9K Β· π) - A model library for exploring state-of-the-art deep.. Apache-2
- DELTA (π₯21 Β· β 1.6K Β· π) - DELTA is a deep learning based natural language and speech.. Apache-2
- anaGo (π₯20 Β· β 1.5K Β· π) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT
-- pyfasttext (π₯20 Β· β 230 Β· π) - Yet another Python binding for fastText. βοΈGPL-3.0
-- fastT5 (π₯19 Β· β 540 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
- textpipe (π₯19 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. MIT
+- pyfasttext (π₯19 Β· β 230 Β· π) - Yet another Python binding for fastText. βοΈGPL-3.0
- numerizer (π₯19 Β· β 210 Β· π€) - A Python module to convert natural language numerics into ints and.. MIT
-- NeuroNER (π₯18 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
- nboost (π₯18 Β· β 670 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
+- fastT5 (π₯18 Β· β 540 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
- Camphr (π₯18 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2
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+- NeuroNER (π₯17 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
- skift (π₯16 Β· β 240 Β· π) - scikit-learn wrappers for Python fastText. MIT
- BLINK (π₯15 Β· β 1.1K Β· π) - Entity Linker solution. MIT
- Translate (π₯15 Β· β 820 Β· π) - Translate - a PyTorch Language Library. BSD-3
@@ -2247,12 +2247,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
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-- glfw (π₯38 Β· β 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
- imgaug (π₯37 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
+- glfw (π₯37 Β· β 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
- Face Recognition (π₯32 Β· β 52K Β· π) - The worlds simplest facial recognition api for Python.. MIT
- PyTorch3D (π₯32 Β· β 8.4K) - PyTorch3D is FAIRs library of reusable components for.. βUnlicensed
- imutils (π₯31 Β· β 4.5K Β· π) - A series of convenience functions to make basic image processing.. MIT
- GluonCV (π₯30 Β· β 5.8K Β· π) - Gluon CV Toolkit. Apache-2
- layout-parser (π₯28 Β· β 4.5K Β· π) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2
-- mtcnn (π₯28 Β· β 2.1K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
- Augmentor (π₯27 Β· β 5K Β· π) - Image augmentation library in Python for machine learning. MIT
- chainercv (π₯27 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
- Image Deduplicator (π₯25 Β· β 5K Β· π) - Finding duplicate images made easy!. Apache-2
+- mtcnn (π₯25 Β· β 2.1K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
- Pillow-SIMD (π₯25 Β· β 2.1K Β· π€) - The friendly PIL fork. βοΈPIL
- segmentation_models (π₯24 Β· β 4.6K Β· π) - Segmentation models with pretrained backbones. Keras.. MIT
- Image Super-Resolution (π₯24 Β· β 4.5K Β· π) - Super-scale your images and run experiments with.. Apache-2
@@ -2788,12 +2788,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
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- StellarGraph (π₯29 Β· β 2.9K Β· π) - StellarGraph - Machine Learning on Graphs. Apache-2
- pygal (π₯26 Β· β 2.6K) - PYthon svg GrAph plotting Library. βοΈLGPL-3.0
-- Karate Club (π₯25 Β· β 2.1K) - Karate Club: An API Oriented Open-source Python Framework for.. βοΈGPL-3.0
+- Karate Club (π₯24 Β· β 2.1K) - Karate Club: An API Oriented Open-source Python Framework for.. βοΈGPL-3.0
- jraph (π₯23 Β· β 1.3K Β· π) - A Graph Neural Network Library in Jax. Apache-2
-- graph-nets (π₯22 Β· β 5.3K Β· π) - Build Graph Nets in Tensorflow. Apache-2
+- graph-nets (π₯21 Β· β 5.3K Β· π) - Build Graph Nets in Tensorflow. Apache-2
- DIG (π₯21 Β· β 1.8K) - A library for graph deep learning research. βοΈGPL-3.0
- graph4nlp (π₯21 Β· β 1.7K Β· π) - Graph4nlp is the library for the easy use of Graph.. Apache-2
+- pyRDF2Vec (π₯21 Β· β 240 Β· π€) - Python Implementation and Extension of RDF2Vec. MIT
- DeepWalk (π₯20 Β· β 2.6K Β· π) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
- DeepGraph (π₯20 Β· β 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3
-- pyRDF2Vec (π₯20 Β· β 240 Β· π€) - Python Implementation and Extension of RDF2Vec. MIT
- GraphGym (π₯18 Β· β 1.6K Β· π) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT
- GraphEmbedding (π₯17 Β· β 3.6K Β· π) - Implementation and experiments of graph embedding.. MIT
- Euler (π₯15 Β· β 2.9K Β· π) - A distributed graph deep learning framework. Apache-2
-- ptgnn (π₯15 Β· β 370 Β· π) - A PyTorch Graph Neural Network Library. MIT
- GraphSAGE (π₯14 Β· β 3.3K Β· π) - Representation learning on large graphs using stochastic.. MIT
- GraphVite (π₯14 Β· β 1.2K Β· π) - GraphVite: A General and High-performance Graph Embedding.. Apache-2
-- OpenKE (π₯13 Β· β 3.7K Β· π) - An Open-Source Package for Knowledge Embedding (KE). βUnlicensed
+- ptgnn (π₯14 Β· β 370 Β· π) - A PyTorch Graph Neural Network Library. MIT
+- OpenKE (π₯13 Β· β 3.7K) - An Open-Source Package for Knowledge Embedding (KE). βUnlicensed
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- Dejavu (π₯23 Β· β 6.3K Β· π) - Audio fingerprinting and recognition in Python. MIT
- kapre (π₯23 Β· β 910 Β· π) - kapre: Keras Audio Preprocessors. MIT
-- Julius (π₯21 Β· β 400 Β· π) - Fast PyTorch based DSP for audio and 1D signals. MIT
-- TimeSide (π₯19 Β· β 370 Β· π) - scalable audio processing framework and server written in.. βοΈAGPL-3.0
+- Julius (π₯21 Β· β 410 Β· π) - Fast PyTorch based DSP for audio and 1D signals. MIT
+- TimeSide (π₯21 Β· β 370 Β· π) - scalable audio processing framework and server written in.. βοΈAGPL-3.0
- Muda (π₯17 Β· β 230 Β· π) - A library for augmenting annotated audio data. ISC
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- prettymaps (π₯23 Β· β 11K Β· π) - A small set of Python functions to draw pretty maps from.. βοΈAGPL-3.0
- gmaps (π₯23 Β· β 760 Β· π) - Google maps for Jupyter notebooks. BSD-3
-- geoplotlib (π₯20 Β· β 1K Β· π) - python toolbox for visualizing geographical data and making maps. MIT
+- geoplotlib (π₯21 Β· β 1K Β· π) - python toolbox for visualizing geographical data and making maps. MIT
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-- pyfolio (π₯31 Β· β 5.4K Β· π) - Portfolio and risk analytics in Python. Apache-2
+- pyfolio (π₯31 Β· β 5.5K Β· π) - Portfolio and risk analytics in Python. Apache-2
- arch (π₯31 Β· β 1.3K) - ARCH models in Python. βUnlicensed
- backtrader (π₯29 Β· β 13K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
- empyrical (π₯27 Β· β 1.2K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
- Alphalens (π₯26 Β· β 3.1K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- Enigma Catalyst (π₯26 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
- TensorTrade (π₯25 Β· β 4.4K Β· π) - An open source reinforcement learning framework for.. Apache-2
+- Enigma Catalyst (π₯25 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
- FinTA (π₯24 Β· β 2.1K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
- Backtesting.py (π₯23 Β· β 4.9K Β· π) - Backtest trading strategies in Python. βοΈAGPL-3.0
- PyAlgoTrade (π₯23 Β· β 4.3K Β· π) - Python Algorithmic Trading Library. Apache-2
@@ -3758,23 +3758,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
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-- NiftyNet (π₯24 Β· β 1.4K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2
- MedPy (π₯24 Β· β 550) - Medical image processing in Python. βοΈGPL-3.0
+- NiftyNet (π₯23 Β· β 1.4K Β· π) - [unmaintained] An open-source convolutional neural.. Apache-2
- NIPY (π₯23 Β· β 370) - Neuroimaging in Python FMRI analysis package. βUnlicensed
- Glow (π₯23 Β· β 260) - An open-source toolkit for large-scale genomic analysis. Apache-2
-- DLTK (π₯21 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2
-- MedicalTorch (π₯16 Β· β 830 Β· π) - A medical imaging framework for Pytorch. Apache-2
+- DLTK (π₯20 Β· β 1.4K Β· π) - Deep Learning Toolkit for Medical Image Analysis. Apache-2
+- MedicalTorch (π₯16 Β· β 840 Β· π) - A medical imaging framework for Pytorch. Apache-2
- Medical Detection Toolkit (π₯15 Β· β 1.3K Β· π) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2
- DeepNeuro (π₯13 Β· β 120 Β· π) - A deep learning python package for neuroimaging data. Made by:. MIT
- MedicalNet (π₯12 Β· β 1.8K Β· π) - Many studies have shown that the performance on deep learning is.. MIT
@@ -4247,24 +4247,24 @@ _Libraries for processing tabular and structured data._
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- TensorFlowOnSpark (π₯27 Β· β 3.9K Β· π) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2
- Elephas (π₯27 Β· β 1.6K Β· π) - Distributed Deep learning with Keras & Spark. MIT
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-- sk-dist (π₯21 Β· β 290 Β· π) - Distributed scikit-learn meta-estimators in PySpark. Apache-2
+- sk-dist (π₯22 Β· β 280 Β· π) - Distributed scikit-learn meta-estimators in PySpark. Apache-2
+- somoclu (π₯21 Β· β 260) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT
- BytePS (π₯20 Β· β 3.6K Β· π) - A high performance and generic framework for distributed DNN.. Apache-2
- TensorFrames (π₯20 Β· β 750 Β· π) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2
-- somoclu (π₯20 Β· β 260) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT
- mesh-transformer-jax (π₯18 Β· β 6.2K Β· π) - Model parallel transformers in JAX and Haiku. Apache-2
- parallelformers (π₯18 Β· β 760 Β· π) - Parallelformers: An Efficient Model Parallelization.. Apache-2
-- bluefog (π₯17 Β· β 290 Β· π) - Distributed and decentralized training framework for PyTorch.. Apache-2
+- bluefog (π₯18 Β· β 290 Β· π) - Distributed and decentralized training framework for PyTorch.. Apache-2
- Fiber (π₯16 Β· β 1K Β· π) - Distributed Computing for AI Made Simple. Apache-2
- LazyCluster (π₯13 Β· β 50 Β· π) - Distributed machine learning made simple. Apache-2
- moolib (π₯11 Β· β 360 Β· π) - A library for distributed ML training with PyTorch. MIT
@@ -4800,28 +4800,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
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- GPyOpt (π₯25 Β· β 920 Β· π) - Gaussian Process Optimization using GPy. BSD-3
- lightwood (π₯25 Β· β 430) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0
-- auto_ml (π₯24 Β· β 1.6K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
- AdaNet (π₯23 Β· β 3.5K Β· π) - Fast and flexible AutoML with learning guarantees. Apache-2
- Orion (π₯23 Β· β 280) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
+- auto_ml (π₯22 Β· β 1.6K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
- Test Tube (π₯22 Β· β 740 Β· π) - Python library to easily log experiments and parallelize.. MIT
- HpBandSter (π₯22 Β· β 600 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
- MLBox (π₯21 Β· β 1.5K Β· π) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
- Neuraxle (π₯21 Β· β 600 Β· π) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2
-- optunity (π₯21 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
- igel (π₯20 Β· β 3.1K Β· π) - a delightful machine learning tool that allows you to train, test, and.. MIT
- sklearn-deap (π₯20 Β· β 760 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT
- Dragonfly (π₯19 Β· β 840 Β· π) - An open source python library for scalable Bayesian optimisation. MIT
- Auto Tune Models (π₯19 Β· β 520 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
+- optunity (π₯19 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
- Sherpa (π₯18 Β· β 330 Β· π) - Hyperparameter optimization that enables researchers to.. βοΈGPL-3.0
- Advisor (π₯17 Β· β 1.5K Β· π) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2
- Xcessiv (π₯17 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated.. Apache-2
-- HyperparameterHunter (π₯17 Β· β 700 Β· π) - Easy hyperparameter optimization and automatic result.. MIT
- automl-gs (π₯16 Β· β 1.8K Β· π) - Provide an input CSV and a target field to predict, generate a.. MIT
+- HyperparameterHunter (π₯16 Β· β 700 Β· π) - Easy hyperparameter optimization and automatic result.. MIT
- Parfit (π₯16 Β· β 200 Β· π) - A package for parallelizing the fit and flexibly scoring of.. MIT
- ENAS (π₯13 Β· β 2.7K Β· π) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2
- model_search (π₯12 Β· β 3.3K Β· π) - AutoML algorithms for model architecture search at scale. Apache-2
@@ -5102,7 +5102,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
_Libraries for building and evaluating reinforcement learning & agent-based systems._
-MIT
MIT
Apache-2
Apache-2
Apache-2
Apache-2
Apache-2
MIT
MIT
MIT
BSD-3
MIT
MIT
Apache-2
Apache-2
Apache-2
BSD-3
Apache-2
BSD-3
BSD-3
Apache-2
Apache-2
MIT
MIT
Apache-2
+- lightfm (π₯29 Β· β 4.6K Β· π) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2
- lkpy (π₯26 Β· β 260) - Python recommendation toolkit. MIT
- tensorrec (π₯21 Β· β 1.3K Β· π) - A TensorFlow recommendation algorithm and framework in.. Apache-2
- fastFM (π₯21 Β· β 1.1K Β· π) - fastFM: A Library for Factorization Machines. BSD-3
- Spotlight (π₯18 Β· β 2.9K Β· π) - Deep recommender models using PyTorch. MIT
- Case Recommender (π₯18 Β· β 460 Β· π) - Case Recommender: A Flexible and Extensible Python.. MIT
- OpenRec (π₯16 Β· β 410 Β· π) - OpenRec is an open-source and modular library for neural network-.. Apache-2
-- Collie (π₯16 Β· β 100 Β· π) - A library for preparing, training, and evaluating scalable deep.. BSD-3
+- Collie (π₯15 Β· β 100 Β· π) - A library for preparing, training, and evaluating scalable deep.. BSD-3
Apache-2
Apache-2
Apache-2
Apache-2
MIT
MIT
Apache-2
-- PipelineDP (π₯19 Β· β 270) - PipelineDP is a Python framework for applying differentially.. Apache-2
+- PipelineDP (π₯17 Β· β 270 Β· π) - PipelineDP is a Python framework for applying differentially.. Apache-2
Apache-2
Apache-2
MIT
Apache-2
Apache-2
Apache-2
Apache-2
Apache-2
Apache-2
MIT
MIT
MIT
MIT
MIT
Apache-2
Apache-2
Apache-2
Apache-2
Apache-2
MIT
Apache-2
BSD-3
MIT
Apache-2
Apache-2
Apache-2
Apache-2
- knockknock (π₯26 Β· β 2.7K Β· π) - Knock Knock: Get notified when your training ends with only two.. MIT
- livelossplot (π₯25 Β· β 1.3K Β· π) - Live training loss plot in Jupyter Notebook for Keras,.. MIT
-- SKLL (π₯25 Β· β 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. βοΈBSD-1-Clause
-- gokart (π₯25 Β· β 300) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT
+- SKLL (π₯24 Β· β 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. βοΈBSD-1-Clause
- hiddenlayer (π₯22 Β· β 1.8K Β· π) - Neural network graphs and training metrics for.. MIT
- lore (π₯21 Β· β 1.6K Β· π) - Lore makes machine learning approachable for Software Engineers and.. MIT
- TensorBoard Logger (π₯21 Β· β 630 Β· π) - Log TensorBoard events without touching TensorFlow. MIT
- keepsake (π₯18 Β· β 1.6K Β· π) - Version control for machine learning. Apache-2
-- datmo (π₯18 Β· β 340 Β· π) - Open source production model management tool for data scientists. MIT
+- datmo (π₯17 Β· β 340 Β· π) - Open source production model management tool for data scientists. MIT
- chitra (π₯17 Β· β 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2
- MXBoard (π₯16 Β· β 320 Β· π) - Logging MXNet data for visualization in TensorBoard. Apache-2
- steppy (π₯16 Β· β 130 Β· π) - Lightweight, Python library for fast and reproducible experimentation. MIT
-- ModelChimp (π₯13 Β· β 130 Β· π) - Experiment tracking for machine and deep learning projects. BSD-2
+- ModelChimp (π₯12 Β· β 130 Β· π) - Experiment tracking for machine and deep learning projects. BSD-2
- traintool (π₯9 Β· β 12 Β· π) - Train off-the-shelf machine learning models in one.. Apache-2
Apache-2
MIT
Apache-2
Apache-2
Apache-2
Apache-2
BSD-3
Apache-2
Apache-2
MIT
MIT
- cortex (π₯23 Β· β 8K Β· π) - Production infrastructure for machine learning at scale. Apache-2
- sklearn-porter (π₯23 Β· β 1.3K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3
+- OMLT (π₯20 Β· β 250) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3
- pytorch2keras (π₯19 Β· β 850 Β· π) - PyTorch to Keras model convertor. MIT
-- OMLT (π₯19 Β· β 250) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3
-- Larq Compute Engine (π₯19 Β· β 240) - Highly optimized inference engine for Binarized.. Apache-2
- modelkit (π₯19 Β· β 150) - Toolkit for developing and maintaining ML models. MIT
+- Larq Compute Engine (π₯18 Β· β 240) - Highly optimized inference engine for Binarized.. Apache-2
- backprop (π₯14 Β· β 240 Β· π) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2
- ml-ane-transformers (π₯13 Β· β 2.5K Β· π) - Reference implementation of the Transformer.. βUnlicensed
MIT
MIT
MIT
MIT
Apache-2
MIT
BSD-3
Apache-2
MIT
MIT
Apache-2
MIT
MIT
Apache-2
MIT
Apache-2
MIT
BSD-2
+- Deep Checks (π₯29 Β· β 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &.. βοΈAGPL-3.0
- scikit-plot (π₯29 Β· β 2.4K Β· π) - An intuitive library to add plotting functionality to.. MIT
- Alibi (π₯29 Β· β 2.3K) - Algorithms for explaining machine learning models. βοΈIntel
-- Deep Checks (π₯28 Β· β 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &.. βοΈAGPL-3.0
-- DALEX (π₯27 Β· β 1.3K) - moDel Agnostic Language for Exploration and eXplanation. βοΈGPL-3.0
+- DALEX (π₯28 Β· β 1.3K) - moDel Agnostic Language for Exploration and eXplanation. βοΈGPL-3.0
- eli5 (π₯26 Β· β 2.7K Β· π) - A library for debugging/inspecting machine learning classifiers and.. MIT
- keras-vis (π₯25 Β· β 3K Β· π) - Neural network visualization toolkit for keras. MIT
- Lucid (π₯22 Β· β 4.6K Β· π) - A collection of infrastructure and tools for research in.. Apache-2
@@ -6510,10 +6521,10 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
- tcav (π₯20 Β· β 620 Β· π) - Code for the TCAV ML interpretability project. Apache-2
- XAI (π₯18 Β· β 1.1K Β· π) - XAI - An eXplainability toolbox for machine learning. MIT
- sklearn-evaluation (π₯18 Β· β 430 Β· π) - Machine learning model evaluation made easy: plots,.. MIT
-- Anchor (π₯16 Β· β 780 Β· π) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
+- Anchor (π₯16 Β· β 790 Β· π) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2
- Skater (π₯14 Β· β 1.1K Β· π€) - Python Library for Model Interpretation/Explanations. βοΈUPL-1.0
-- contextual-ai (π₯13 Β· β 85 Β· π) - Contextual AI adds explainability to different stages of.. Apache-2
- Attribution Priors (π₯12 Β· β 120 Β· π) - Tools for training explainable models using.. MIT
+- contextual-ai (π₯12 Β· β 85 Β· π) - Contextual AI adds explainability to different stages of.. Apache-2
- bias-detector (π₯12 Β· β 42) - Bias Detector is a python package for detecting bias in machine.. MIT
Apache-2
MIT
MIT
Apache-2
Apache-2
Apache-2
Apache-2
BSD-2
BSD-2
Apache-2
Apache-2
MIT
MIT
MIT
Apache-2
MIT
MIT
MIT
MIT
MIT
MIT
Apache-2
Apache-2
Apache-2
Apache-2
MIT
MIT
Apache-2
Apache-2
BSD-3
Apache-2
Apache-2
Apache-2
Apache-2
Apache-2
Apache-2
- nvidia-ml-py3 (π₯18 Β· β 130 Β· π) - Python 3 Bindings for the NVIDIA Management Library. BSD-3
- ipyexperiments (π₯17 Β· β 190) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2
-- SpeedTorch (π₯16 Β· β 680 Β· π) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT
+- SpeedTorch (π₯15 Β· β 680 Β· π) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT
Apache-2
Apache-2
Apache-2
Apache-2
Apache-2
Apache-2
Apache-2
Apache-2
Apache-2
- Keras-Preprocessing (π₯28 Β· β 1K Β· π) - Utilities for working with image data, text data, and.. MIT
- efficientnet (π₯27 Β· β 2.1K Β· π) - Implementation of EfficientNet model. Keras and.. Apache-2
-- TensorNets (π₯21 Β· β 1K Β· π) - High level network definitions with pre-trained weights in.. MIT
+- TensorNets (π₯20 Β· β 1K Β· π) - High level network definitions with pre-trained weights in.. MIT
- tffm (π₯18 Β· β 780 Β· π) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT
Apache-2
Apache-2
Apache-2
MIT
MIT
MIT
- sklearn-contrib-lightning (π₯22 Β· β 1.7K Β· π) - Large-scale linear classification, regression and.. BSD-3
- iterative-stratification (π₯21 Β· β 830 Β· π) - scikit-learn cross validators for iterative.. BSD-3
-- combo (π₯21 Β· β 630 Β· π) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2
xgboost
+- combo (π₯21 Β· β 640 Β· π) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2
xgboost
- skope-rules (π₯21 Β· β 590 Β· π) - machine learning with logical rules in Python. βοΈBSD-1-Clause
- skggm (π₯18 Β· β 240 Β· π€) - Scikit-learn compatible estimation of general graphical models. MIT
-- celer (π₯18 Β· β 190) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3
+- celer (π₯16 Β· β 190 Β· π) - Fast solver for L1-type problems: Lasso, sparse Logisitic.. BSD-3
- dabl (π₯15 Β· β 130) - Data Analysis Baseline Library. BSD-3
Apache-2
MIT
MIT
MIT
MIT
MIT
MIT
MIT
- Torchmeta (π₯23 Β· β 1.9K Β· π) - A collection of extensions and data-loaders for few-shot.. MIT
- Antialiased CNNs (π₯22 Β· β 1.6K Β· π) - pip install antialiased-cnns to improve stability and.. βοΈCC BY-NC-SA 4.0
-- micrograd (π₯21 Β· β 8.4K Β· π) - A tiny scalar-valued autograd engine and a neural net library.. MIT
+- micrograd (π₯21 Β· β 8.5K Β· π) - A tiny scalar-valued autograd engine and a neural net library.. MIT
- AdaBound (π₯21 Β· β 2.9K Β· π) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2
- pytorchviz (π₯20 Β· β 3K Β· π) - A small package to create visualizations of PyTorch execution graphs. MIT
- Lambda Networks (π₯20 Β· β 1.5K Β· π) - Implementation of LambdaNetworks, a new approach to.. MIT
- Performer Pytorch (π₯19 Β· β 1.1K Β· π) - An implementation of Performer, a linear attention-.. MIT
- Poutyne (π₯19 Β· β 560 Β· π€) - A simplified framework and utilities for PyTorch. βοΈLGPL-3.0
-- Torch-Struct (π₯18 Β· β 1.1K Β· π) - Fast, general, and tested differentiable structured.. MIT
- Tez (π₯17 Β· β 1.2K Β· π) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2
+- Torch-Struct (π₯17 Β· β 1.1K Β· π) - Fast, general, and tested differentiable structured.. MIT
- Tensor Sensor (π₯17 Β· β 750 Β· π) - The goal of this library is to generate more helpful.. MIT
- madgrad (π₯16 Β· β 800 Β· π) - MADGRAD Optimization Method. MIT
- Pywick (π₯16 Β· β 400 Β· π) - High-level batteries-included neural network training library for.. MIT
@@ -7746,25 +7757,25 @@ _Libraries for connecting to, operating, and querying databases._
-BSD-3
BSD-3
BSD-3
Apache-2
Apache-2
Apache-2
MIT
MIT
MIT
MIT
Apache-2
Apache-2
Apache-2
MIT
MIT
Apache-2
MIT
BSD-3
MIT
BSD-3
BSD-3
MIT
MIT
Apache-2
BSD-3
BSD-2
MIT
MIT
BSD-2
MIT
Apache-2
huggingface
MPL-2.0
MIT
MIT
Apache-2
BSD-3
Apache-2
Apache-2
BSD-3
BSD-3
Apache-2
Apache-2
MIT
MIT
βοΈAGPL-3.0
+- cleanlab (π₯32 Β· β 8.9K) - The standard data-centric AI package for data quality and machine.. βοΈAGPL-3.0
- PaddleHub (π₯31 Β· β 13K Β· π) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2
- alibi-detect (π₯29 Β· β 2.1K) - Algorithms for outlier, adversarial and drift detection. βοΈIntel
- pysc2 (π₯28 Β· β 7.9K Β· π) - StarCraft II Learning Environment. Apache-2
@@ -8387,7 +8398,7 @@ _Libraries for connecting to, operating, and querying databases._
- scikit-rebate (π₯19 Β· β 400 Β· π) - A scikit-learn-compatible Python implementation of.. MIT
- baikal (π₯18 Β· β 590 Β· π) - A graph-based functional API for building complex scikit-learn.. BSD-3
- pandas-ml (π₯18 Β· β 310 Β· π) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3
-- KD-Lib (π₯15 Β· β 570 Β· π) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT
+- KD-Lib (π₯15 Β· β 580 Β· π) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT
- traingenerator (π₯13 Β· β 1.3K Β· π) - A web app to generate template code for machine learning. MIT
- nylon (π₯12 Β· β 84 Β· π) - An intelligent, flexible grammar of machine learning. MIT
BSD-3
+- Altair (π₯42 Β· β 9K Β· π) - Declarative statistical visualization library for Python. BSD-3
+- Faiss (π₯40 Β· β 29K Β· π) - A library for efficient similarity search and clustering of dense vectors. MIT
+- MONAI (π₯36 Β· β 5.4K Β· π) - AI Toolkit for Healthcare Imaging. Apache-2
+- ColossalAI (π₯34 Β· β 38K Β· π) - Making large AI models cheaper, faster and more accessible. Apache-2
+- datashader (π₯34 Β· β 3.2K Β· π) - Quickly and accurately render even the largest data. BSD-3
+- tinygrad (π₯33 Β· β 24K Β· π) - You like pytorch? You like micrograd? You love tinygrad!. MIT
+- scikit-surprise (π₯29 Β· β 6.2K Β· π) - A Python scikit for building and analyzing recommender.. BSD-3
+- Hyperactive (π₯22 Β· β 490 Β· π) - An optimization and data collection toolbox for convenient and.. MIT
+- TimeSide (π₯21 Β· β 370 Β· π) - scalable audio processing framework and server written in.. βοΈAGPL-3.0
+
+## π Trending Down
+
+_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._
+
+- StatsModels (π₯44 Β· β 9.6K Β· π) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+- PyMC3 (π₯40 Β· β 8.2K Β· π) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2
+- Rasa (π₯39 Β· β 18K Β· π) - Open source machine learning framework to automate text- and.. Apache-2
+- Jina (π₯38 Β· β 20K Β· π) - Build multimodal AI applications with cloud-native stack. Apache-2
+- NeuralProphet (π₯30 Β· β 3.7K Β· π) - NeuralProphet: A simple forecasting package. MIT
+- mtcnn (π₯25 Β· β 2.1K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
+- auto_ml (π₯22 Β· β 1.6K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
+- optunity (π₯19 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
+- PipelineDP (π₯17 Β· β 270 Β· π) - PipelineDP is a Python framework for applying differentially.. Apache-2
+- celer (π₯16 Β· β 190 Β· π) - Fast solver for L1-type problems: Lasso, sparse Logisitic.. BSD-3
+
diff --git a/history/2024-05-23_projects.csv b/history/2024-05-23_projects.csv
new file mode 100644
index 0000000..ce2943f
--- /dev/null
+++ b/history/2024-05-23_projects.csv
@@ -0,0 +1,918 @@
+,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id
+0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2024-05-23 14:17:06.000000,2024-05-22 10:54:06,1558.0,22.0,685.0,117.0,332.0,60.0,143.0,4661.0,Benchmarks of approximate nearest neighbor libraries in Python.,104.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2024-05-16 17:19:41.000000,2024-05-16 17:19:41,340.0,27.0,163.0,56.0,201.0,,3.0,2195.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-05-16 17:19:46.000,2024.05.16,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-05-23 13:52:56.000000,2024-05-23 13:52:56,355.0,26.0,244.0,87.0,197.0,6.0,5.0,3468.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-05-23 13:53:03.000,2024.05.23,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-05-23 13:52:56.000000,2024-05-23 13:52:56,355.0,26.0,244.0,87.0,197.0,6.0,5.0,3469.0,Collection of database clients for python.,12.0,0,True,2024-05-23 13:53:03.000,2024.05.23,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-05-23 13:52:56.000000,2024-05-23 13:52:56,355.0,26.0,244.0,87.0,197.0,6.0,5.0,3469.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-05-23 13:53:03.000,2024.05.23,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-05-23 13:52:56.000000,2024-05-23 13:52:56,355.0,26.0,244.0,87.0,197.0,6.0,5.0,3469.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-05-23 13:53:03.000,2024.05.23,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-05-23 14:11:10.000000,2024-05-23 14:09:07,164935.0,4423.0,73940.0,7629.0,28661.0,2788.0,37288.0,185407.0,An Open Source Machine Learning Framework for Everyone.,4607.0,56,True,2024-03-09 00:23:14.000,2.16.1,193.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],379349.0,372059.0,https://pypi.org/project/tensorflow,2024-03-09 00:23:14.000,7290.0,22997608.0,24043379.0,https://anaconda.org/conda-forge/tensorflow,2024-05-23 12:11:35.590,4624242.0,https://hub.docker.com/r/tensorflow/tensorflow,2024-05-23 12:48:45.238455,2416.0,77189112.0,1.0,,,,,,,,,,,,,,,,,,,,
+7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-05-23 14:13:25.000000,2024-05-23 09:01:29,73368.0,3518.0,21135.0,1718.0,84545.0,13942.0,29089.0,78730.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4864.0,55,True,2024-04-24 16:12:17.000,2.3.0,52.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],468125.0,451902.0,https://pypi.org/project/torch,2024-04-24 15:44:27.000,16223.0,29219045.0,29893125.0,https://anaconda.org/pytorch/pytorch,2024-04-23 12:59:17.451,21555998.0,,,,,1.0,41963.0,,,,,,,,,,,,,,,,,,,
+8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-05-23 14:24:06.000000,2024-05-23 14:01:29,15960.0,772.0,25033.0,1100.0,15789.0,1077.0,13990.0,126499.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2584.0,52,True,2024-05-22 20:36:44.000,4.41.1,143.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",176667.0,171572.0,https://pypi.org/project/transformers,2024-05-22 20:36:40.000,5095.0,28158165.0,28194787.0,https://anaconda.org/conda-forge/transformers,2024-05-23 03:00:54.170,1684616.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+9,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2024-05-23 13:37:23.000000,2024-05-22 14:24:48,31327.0,296.0,25019.0,2140.0,17221.0,2050.0,9327.0,58387.0,scikit-learn: machine learning in Python.,3120.0,52,True,2024-05-21 16:37:08.000,1.5.0,79.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],803100.0,781526.0,https://pypi.org/project/scikit-learn,2024-05-21 16:33:03.000,21574.0,67263217.0,67854744.0,https://anaconda.org/conda-forge/scikit-learn,2024-05-21 17:17:23.994,28392883.0,,,,,1.0,955.0,,,,,,,,,,,,,,,,,,,
+10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-05-23 14:56:28.000000,2024-05-23 08:33:03,32511.0,857.0,5034.0,346.0,10778.0,1821.0,8463.0,12539.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1634.0,51,True,2024-05-23 04:06:33.000,1.13.1,102.0,scipy,conda-forge/scipy,,,,1042382.0,1001211.0,https://pypi.org/project/scipy,2024-05-23 03:19:01.000,41171.0,106550796.0,107700771.0,https://anaconda.org/conda-forge/scipy,2024-05-23 14:29:41.561,48139573.0,,,,,1.0,402355.0,1.0,,,,,,,,,,,,,,,,,,
+11,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2024-05-23 07:35:34.000000,2024-05-22 21:24:34,10691.0,350.0,19347.0,1909.0,7194.0,190.0,11687.0,61072.0,Deep Learning for humans.,1299.0,48,True,2024-04-26 23:21:04.000,3.3.3,98.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],1322.0,,https://pypi.org/project/keras,2024-04-22 23:37:45.000,1322.0,18200753.0,18275084.0,https://anaconda.org/conda-forge/keras,2024-04-27 08:28:33.749,3493590.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+12,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2024-05-23 09:58:21.000000,2024-05-23 08:33:21,50373.0,585.0,7424.0,594.0,18003.0,1546.0,9072.0,19423.0,matplotlib: plotting with Python.,1675.0,48,True,2024-05-15 23:51:33.000,3.9.0,124.0,matplotlib,conda-forge/matplotlib,,,,1243639.0,1199450.0,https://pypi.org/project/matplotlib,2024-05-15 23:37:04.000,44189.0,64889662.0,65393024.0,https://anaconda.org/conda-forge/matplotlib,2024-05-17 21:11:33.658,23658048.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-05-23 14:08:58.000000,2024-05-23 14:08:58,17812.0,566.0,2123.0,220.0,4836.0,117.0,3000.0,11776.0,Python Imaging Library (Fork).,468.0,48,True,2024-04-01 12:34:53.000,10.3.0,97.0,Pillow,conda-forge/pillow,,,,1673095.0,1668848.0,https://pypi.org/project/Pillow,2024-04-01 12:17:01.000,4247.0,97879031.0,98737143.0,https://anaconda.org/conda-forge/pillow,2024-04-03 15:56:48.771,39473158.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+14,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-05-23 13:20:44.000000,2024-05-20 21:27:44,57657.0,486.0,4307.0,295.0,13153.0,5028.0,8744.0,12475.0,A computer algebra system written in pure Python.,1304.0,47,True,2024-03-31 22:49:13.000,1.12.1rc1,55.0,sympy,conda-forge/sympy,,,,140540.0,137498.0,https://pypi.org/project/sympy,2024-03-31 22:48:43.000,3042.0,22102375.0,22164363.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,5550749.0,,,,,1.0,541863.0,,,,,,,,,,,,,,,,,,,
+15,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-05-23 14:54:15.000000,2024-05-23 11:38:12,6342.0,211.0,2815.0,315.0,4496.0,823.0,3351.0,32313.0,Streamlit A faster way to build and share data apps.,230.0,46,True,2024-05-02 17:44:20.000,1.34.0,221.0,streamlit,,,,,388383.0,386104.0,https://pypi.org/project/streamlit,2024-05-02 17:44:12.000,2279.0,4648513.0,4648513.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+16,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-05-23 13:47:51.000000,2024-05-23 11:46:46,41103.0,1163.0,27972.0,2030.0,46688.0,199.0,,38557.0,Apache Spark Python API.,3067.0,45,True,2024-04-18 08:17:20.000,3.4.3,44.0,pyspark,conda-forge/pyspark,,,['spark'],1389.0,,https://pypi.org/project/pyspark,2024-04-18 08:17:20.000,1389.0,29032122.0,29099253.0,https://anaconda.org/conda-forge/pyspark,2024-03-03 13:07:40.821,3155193.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,,
+17,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-05-23 14:44:26.000000,2024-05-23 07:30:57,21694.0,940.0,5311.0,471.0,27701.0,3723.0,14291.0,31481.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,1020.0,45,True,2024-05-22 23:37:00.000,ray-2.23.0,106.0,ray,conda-forge/ray-tune,,,,16262.0,15574.0,https://pypi.org/project/ray,2024-05-22 22:51:23.000,688.0,4535791.0,4541221.0,https://anaconda.org/conda-forge/ray-tune,2024-05-23 14:37:18.453,222575.0,,,,,1.0,213.0,,,,,,,,,,,,,,,,,,,
+18,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-05-23 14:14:04.000000,2024-05-23 13:40:34,20845.0,1325.0,2572.0,323.0,13601.0,1596.0,3863.0,28267.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",695.0,45,True,2024-05-09 23:28:46.000,jax-v0.4.28,162.0,jax,conda-forge/jaxlib,,,,27041.0,25509.0,https://pypi.org/project/jax,2024-05-09 23:23:10.000,1532.0,6782293.0,6807951.0,https://anaconda.org/conda-forge/jaxlib,2024-05-22 17:25:16.028,1205970.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+19,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-05-23 10:20:56.000000,2024-05-23 10:11:25,6861.0,95.0,8665.0,911.0,5157.0,443.0,4778.0,25653.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",640.0,45,True,2023-12-19 21:59:17.000,2.0.3,80.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,94041.0,92268.0,https://pypi.org/project/xgboost,2023-12-19 21:59:17.000,1773.0,19393250.0,19497988.0,https://anaconda.org/conda-forge/xgboost,2024-04-18 01:21:37.436,4814747.0,,,,,1.0,8589.0,,,,,,,,,,,,,,,,,,,
+20,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-05-23 14:00:25.000000,2024-05-23 13:32:26,48489.0,1614.0,5439.0,722.0,46342.0,1859.0,17027.0,21663.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1200.0,45,True,2024-04-09 11:19:43.000,2.6.1,67.0,paddlepaddle,,,,['paddle'],5257.0,5151.0,https://pypi.org/project/paddlepaddle,2024-03-19 06:55:39.000,106.0,208724.0,208889.0,,,,,,,,1.0,15374.0,,,,,,,,,,,,,,,,,,,
+21,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-05-23 14:37:59.000000,2024-05-21 08:44:05,20497.0,103.0,4161.0,443.0,6077.0,777.0,6892.0,18897.0,"Interactive Data Visualization in the browser, from Python.",693.0,45,True,2024-04-11 21:02:24.000,3.4.1,202.0,bokeh,conda-forge/bokeh,,,,89558.0,87979.0,https://pypi.org/project/bokeh,2024-05-21 08:47:33.000,1579.0,4943530.0,5239955.0,https://anaconda.org/conda-forge/bokeh,2024-04-12 05:55:15.282,13931996.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+22,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-05-23 14:35:11.000000,2024-05-23 14:21:19,6646.0,319.0,2196.0,158.0,3751.0,503.0,3742.0,29640.0,"Wrap UIs around any model, share with anyone.",327.0,44,True,2024-05-21 21:10:16.000,4.31.5,568.0,gradio,,,,,31215.0,30655.0,https://pypi.org/project/gradio,2024-05-21 21:10:16.000,560.0,7271910.0,7271910.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+23,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-05-17 07:12:06.000000,2024-05-15 10:11:33,16131.0,14.0,4295.0,556.0,4001.0,117.0,5503.0,28916.0,Industrial-strength Natural Language Processing (NLP) in Python.,751.0,44,True,2024-02-15 19:16:59.000,3.7.4,230.0,spacy,conda-forge/spacy,,,,91176.0,88779.0,https://pypi.org/project/spacy,2024-04-22 09:55:45.000,2397.0,12871309.0,12944861.0,https://anaconda.org/conda-forge/spacy,2024-04-04 16:04:13.461,3456964.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+24,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2024-05-23 14:08:59.000000,2024-05-23 12:55:52,10300.0,125.0,3267.0,246.0,10117.0,739.0,6186.0,27115.0,"Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.",946.0,44,True,2024-05-22 17:36:29.000,2.2.5,272.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],33907.0,32549.0,https://pypi.org/project/pytorch-lightning,2024-05-22 17:36:29.000,1358.0,5244002.0,5268320.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-04-12 18:53:30.868,1133159.0,,,,,2.0,7536.0,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,,
+25,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-05-23 14:20:18.000000,2024-05-23 11:51:40,5917.0,461.0,3959.0,289.0,8244.0,1472.0,2433.0,17454.0,Open source platform for the machine learning lifecycle.,728.0,44,True,2024-05-20 07:17:17.000,2.13.0,99.0,mlflow,conda-forge/mlflow,,,,36365.0,35590.0,https://pypi.org/project/mlflow,2024-05-20 00:48:19.000,775.0,14526638.0,14568125.0,https://anaconda.org/conda-forge/mlflow,2024-05-21 13:49:18.783,1949895.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+26,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-05-17 15:59:53.000000,2024-05-13 19:25:31,6490.0,111.0,2487.0,278.0,1639.0,1509.0,1413.0,15411.0,The interactive graphing library for Python This project now includes Plotly Express!.,263.0,44,True,2024-05-01 14:04:11.000,5.22.0,298.0,plotly,conda-forge/plotly,,,,273093.0,267600.0,https://pypi.org/project/plotly,2024-05-01 14:00:07.000,5484.0,16293214.0,16425540.0,https://anaconda.org/conda-forge/plotly,2024-05-04 13:44:40.868,5848100.0,,,,,1.0,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,10491.0,,,,,,,,,,,
+27,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-05-23 04:28:02.000000,2024-05-22 18:01:42,7689.0,85.0,3141.0,282.0,3765.0,331.0,2990.0,14278.0,Network Analysis in Python.,718.0,44,True,2024-04-06 13:09:07.000,networkx-3.3,94.0,networkx,conda-forge/networkx,,,,263480.0,255084.0,https://pypi.org/project/networkx,2024-04-06 12:59:44.000,8396.0,54098628.0,54450670.0,https://anaconda.org/conda-forge/networkx,2024-04-08 01:42:36.044,15841911.0,,,,,1.0,71.0,,,,,,,,,,,,,,,,,,,
+28,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-05-23 08:15:23.000000,2024-05-22 09:02:20,8203.0,94.0,1674.0,211.0,5835.0,1066.0,4170.0,12076.0,Parallel computing with task scheduling.,600.0,44,True,2024-05-17 20:18:01.000,2024.5.1,197.0,dask,conda-forge/dask,,,,62554.0,60446.0,https://pypi.org/project/dask,2024-05-17 20:12:49.000,2108.0,8466180.0,8698451.0,https://anaconda.org/conda-forge/dask,2024-05-18 02:42:15.720,11149032.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,,
+29,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-05-23 07:54:30.000000,2024-05-22 21:35:20,4894.0,222.0,2044.0,1683.0,4747.0,294.0,2689.0,11789.0,WebGL2 powered visualization framework.,263.0,44,True,2024-05-10 15:36:17.000,0.9.1,655.0,pydeck,conda-forge/pydeck,,,['jupyter'],7983.0,7607.0,https://pypi.org/project/pydeck,2024-05-10 15:36:17.000,87.0,3686796.0,4152298.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,522218.0,,,,,1.0,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-05-06 07:39:07.905,289.0,455263.0,,,,,,,,,,,
+30,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-05-21 00:51:24.000000,2024-05-14 16:08:22,15325.0,38.0,2824.0,280.0,3884.0,2780.0,2755.0,9617.0,Statsmodels: statistical modeling and econometrics in Python.,426.0,44,True,2024-04-17 08:41:57.000,0.14.2,37.0,statsmodels,conda-forge/statsmodels,,,,128304.0,124342.0,https://pypi.org/project/statsmodels,2024-04-17 08:41:57.000,3962.0,16744170.0,17024154.0,https://anaconda.org/conda-forge/statsmodels,2024-05-17 10:41:00.825,13159279.0,,,,,2.0,31.0,-1.0,,,,,,,,,,,,,,,,,,
+31,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-05-21 23:34:27.000000,2024-05-21 23:34:27,5833.0,62.0,1629.0,192.0,4999.0,663.0,1231.0,6570.0,TensorFlows Visualization Toolkit.,320.0,44,True,2024-02-16 19:56:55.000,2.16.2,60.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],237726.0,235742.0,https://pypi.org/project/tensorboard,2024-02-16 19:56:55.000,1984.0,28629949.0,28729531.0,https://anaconda.org/conda-forge/tensorboard,2024-02-18 19:53:36.212,4680377.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+32,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-05-22 13:41:57.000000,2024-05-14 18:39:29,2657.0,45.0,3172.0,240.0,865.0,818.0,1640.0,21798.0,A game theoretic approach to explain the output of any machine learning model.,239.0,43,True,2024-05-07 11:40:34.000,0.45.1,103.0,shap,conda-forge/shap,,,,18285.0,17610.0,https://pypi.org/project/shap,2024-05-07 11:40:34.000,675.0,6861614.0,6930639.0,https://anaconda.org/conda-forge/shap,2024-05-08 21:55:59.406,2830059.0,,,,,1.0,,,,shap/shap,,,,,,,,,,,,,,,,
+33,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-05-23 12:48:10.000000,2024-05-23 05:41:30,2734.0,70.0,3607.0,437.0,3217.0,316.0,2425.0,16987.0,Open standard for machine learning interoperability.,317.0,43,True,2024-03-25 15:40:18.000,1.16.0,32.0,onnx,conda-forge/onnx,,,,28882.0,27962.0,https://pypi.org/project/onnx,2024-03-25 15:25:07.000,920.0,5663273.0,5684854.0,https://anaconda.org/conda-forge/onnx,2024-05-17 14:14:18.371,1002097.0,,,,,1.0,20610.0,,,,,,,,,,,,,,,,,,,
+34,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-05-23 03:03:55.000000,2024-05-23 02:03:55,3472.0,43.0,3773.0,435.0,3138.0,383.0,2969.0,16142.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",302.0,43,True,2024-01-26 03:29:02.000,4.3.0,36.0,lightgbm,conda-forge/lightgbm,,,,34103.0,33095.0,https://pypi.org/project/lightgbm,2024-01-26 03:29:02.000,1008.0,7681382.0,7736549.0,https://anaconda.org/conda-forge/lightgbm,2024-01-26 13:26:41.503,2312080.0,,,,,2.0,222764.0,,,,,,,,,,,,,,,,,,,
+35,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-05-20 19:20:08.000000,2024-04-25 14:36:49,3234.0,5.0,1862.0,260.0,1107.0,150.0,2368.0,12018.0,Statistical data visualization in Python.,212.0,43,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,419266.0,409756.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,9510.0,17476263.0,17663359.0,https://anaconda.org/conda-forge/seaborn,2024-04-30 16:33:12.611,8793373.0,,,,,1.0,392.0,,,,,,,,,,,,,,,,,,,
+36,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2024-05-23 15:09:24.000000,2024-05-23 15:09:24,2277.0,518.0,1303.0,182.0,2641.0,545.0,690.0,11397.0,Development repository for the Triton language and compiler.,263.0,43,True,2024-04-05 02:47:42.000,2.3.0,193.0,triton,,,,,26272.0,26100.0,https://pypi.org/project/triton,2024-04-05 02:47:42.000,172.0,12254415.0,12254415.0,,,,,,,,1.0,,,,triton-lang/triton,,,,,,,,,,,,,,,,
+37,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-05-15 19:22:03.000000,2024-05-15 19:22:03,7479.0,192.0,1991.0,419.0,1065.0,829.0,918.0,20638.0,Data Apps & Dashboards for Python. No JavaScript Required.,154.0,42,True,2024-05-03 17:00:38.000,2.17.0,178.0,dash,conda-forge/dash,,,,64435.0,63282.0,https://pypi.org/project/dash,2024-05-03 16:56:05.000,1153.0,2926935.0,2954484.0,https://anaconda.org/conda-forge/dash,2024-05-04 04:54:12.137,1294762.0,,,,,1.0,72.0,,,,,,,,,,,,,,,,,,,
+38,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-05-23 11:59:04.000000,2024-05-20 14:26:43,3851.0,59.0,6848.0,415.0,5262.0,995.0,2376.0,15548.0,"Datasets, Transforms and Models specific to Computer Vision.",587.0,42,True,2024-04-24 16:20:12.000,0.18.0,44.0,torchvision,conda-forge/torchvision,,,['pytorch'],4911.0,21.0,https://pypi.org/project/torchvision,2024-04-24 15:47:57.000,4890.0,13857592.0,13887984.0,https://anaconda.org/conda-forge/torchvision,2024-05-16 09:07:24.923,1138068.0,,,,,1.0,37717.0,,,,,,,,,,,,,,,,,,,
+39,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-05-23 09:19:00.000000,2024-05-23 04:11:00,11958.0,4192.0,993.0,60.0,1410.0,574.0,1792.0,9084.0,"Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker,..",232.0,42,True,2024-05-23 03:48:47.000,1.38.0,811.0,litellm,,,,others,2019.0,1827.0,https://pypi.org/project/litellm,2024-05-23 03:36:23.000,192.0,599977.0,600231.0,,,,,,,,1.0,254.0,,,,,,,,,,,,,,,,,,,
+40,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-05-23 09:47:43.000000,2024-05-18 08:08:27,3665.0,42.0,765.0,141.0,1362.0,169.0,1778.0,8974.0,Declarative statistical visualization library for Python.,163.0,42,True,2024-03-30 15:36:52.000,5.3.0,40.0,altair,conda-forge/altair,,,,133069.0,132309.0,https://pypi.org/project/altair,2024-03-30 15:24:57.000,760.0,24140969.0,24218534.0,https://anaconda.org/conda-forge/altair,2024-03-30 18:57:22.082,2249367.0,,,,,1.0,123.0,1.0,,vega/altair,,,,,,,,,,,,,,,,
+41,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-05-23 03:03:53.000000,2024-05-23 02:56:36,6536.0,390.0,611.0,54.0,4560.0,822.0,2310.0,8345.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,177.0,42,True,2024-05-07 23:10:29.000,0.17.0,274.0,wandb,conda-forge/wandb,,,,47050.0,45829.0,https://pypi.org/project/wandb,2024-05-07 22:08:37.000,1221.0,13544201.0,13555203.0,https://anaconda.org/conda-forge/wandb,2024-03-25 23:14:36.046,506128.0,,,,,1.0,,,,wandb/wandb,,,,,,,,,,,,,,,,
+42,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-05-21 16:08:00.000000,2024-05-14 17:31:17,13977.0,106.0,2198.0,187.0,4411.0,773.0,2075.0,5902.0,Image processing in Python.,660.0,42,False,2024-04-20 19:25:20.000,0.23.2,65.0,scikit-image,conda-forge/scikit-image,,,,187496.0,181971.0,https://pypi.org/project/scikit-image,2024-04-20 19:25:20.000,5525.0,12699670.0,12832978.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,6265504.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+43,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-05-23 02:29:36.000000,2024-05-22 21:52:39,2308.0,136.0,3870.0,335.0,2731.0,1067.0,1620.0,33091.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",313.0,41,True,2024-04-23 23:26:47.000,0.14.2,90.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],7296.0,7137.0,https://pypi.org/project/deepspeed,2024-04-23 23:26:47.000,159.0,522238.0,522584.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,18003.0,1.0,,,,,,,,,,,,,,,,,,,,
+44,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2024-05-22 21:34:46.000000,2024-05-22 21:33:39,2267.0,95.0,4593.0,308.0,474.0,64.0,806.0,30119.0,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and..",139.0,41,True,2024-05-15 18:19:44.000,1.0.3,57.0,timm,conda-forge/timm,,,['pytorch'],29612.0,28866.0,https://pypi.org/project/timm,2024-05-15 18:16:15.000,746.0,5259201.0,5372331.0,https://anaconda.org/conda-forge/timm,2024-05-16 07:02:45.732,153524.0,,,,,1.0,6587616.0,,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,,
+45,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-05-23 14:53:55.000000,2024-05-23 12:03:40,19893.0,775.0,2596.0,273.0,20527.0,723.0,10186.0,27413.0,"A cloud-native vector database, storage for next generation AI applications.",273.0,41,True,2024-05-23 03:54:58.000,2.3.16,96.0,pymilvus,,milvusdb/milvus,,,120.0,,https://pypi.org/project/pymilvus,2024-05-17 04:01:58.000,120.0,501763.0,775939.0,,,,https://hub.docker.com/r/milvusdb/milvus,2024-05-23 14:17:54.023720,44.0,15129021.0,1.0,220861.0,,,,,,,,,,,,,,,,,,,
+46,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-05-23 14:32:12.000000,2024-05-22 13:48:55,1390.0,58.0,2322.0,132.0,425.0,1049.0,931.0,14018.0,Multilingual Sentence & Image Embeddings with BERT.,162.0,41,True,2024-04-17 13:16:06.000,2.7.0,51.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],34723.0,33495.0,https://pypi.org/project/sentence-transformers,2024-04-17 13:15:42.000,1228.0,4260565.0,4266299.0,https://anaconda.org/conda-forge/sentence-transformers,2024-04-17 14:59:51.983,252299.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+47,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-05-23 14:48:28.000000,2024-05-22 12:21:55,9265.0,74.0,1145.0,140.0,5447.0,216.0,4416.0,13223.0,ML Experiments and Data Management with Git.,296.0,41,True,2024-05-23 14:48:28.000,3.50.3,524.0,dvc,conda-forge/dvc,,,,15329.0,15214.0,https://pypi.org/project/dvc,2024-05-13 17:26:59.000,115.0,497610.0,540831.0,https://anaconda.org/conda-forge/dvc,2024-05-14 07:22:35.709,1872762.0,,,,,1.0,40509.0,,,,,,,,,dvc,dvc,dvc,,,,,,,,
+48,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-05-22 16:53:07.000000,2024-04-05 06:11:40,14511.0,2.0,2821.0,463.0,1457.0,272.0,1517.0,13104.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,454.0,41,True,2023-07-20 15:52:53.307,0.9.9,59.0,nltk,conda-forge/nltk,,,,279839.0,275686.0,https://pypi.org/project/nltk,2023-07-20 15:52:53.307,4153.0,21625247.0,21652597.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2543611.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+49,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-05-18 11:08:05.245000,2024-05-12 00:07:36,8263.0,25.0,3323.0,478.0,705.0,48.0,2143.0,13090.0,A toolkit for making real world machine learning and data analysis applications in C++.,195.0,41,False,2024-04-03 23:33:43.000,19.24.4,37.0,dlib,conda-forge/dlib,,,,27445.0,27245.0,https://pypi.org/project/dlib,2024-04-03 23:33:43.000,200.0,480670.0,495975.0,https://anaconda.org/conda-forge/dlib,2024-05-18 11:08:05.245,708229.0,,,,,2.0,25435.0,,,,,,,,,,,,,,,,,,,
+50,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-05-23 08:39:31.000000,2024-05-23 08:39:27,47956.0,479.0,1148.0,192.0,388.0,507.0,1758.0,7795.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1234.0,41,True,2024-04-18 20:19:33.000,1.2.5,111.0,catboost,conda-forge/catboost,,,,400.0,14.0,https://pypi.org/project/catboost,2024-04-18 18:24:32.000,386.0,2098763.0,2137867.0,https://anaconda.org/conda-forge/catboost,2024-04-18 20:39:24.300,1509990.0,,,,,2.0,252186.0,,,,,,,,,,,,,,,,,,,
+51,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2024-05-02 16:09:06.000000,2023-01-30 18:15:21,1757.0,,8557.0,1062.0,1452.0,92.0,1721.0,33990.0,A toolkit for developing and comparing reinforcement learning algorithms.,383.0,40,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,54936.0,53430.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1506.0,438665.0,444389.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,280523.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+52,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-05-23 14:51:07.000000,2024-05-23 14:47:33,1118.0,96.0,3409.0,474.0,997.0,452.0,1940.0,28610.0,A library for efficient similarity search and clustering of dense vectors.,175.0,40,True,2024-05-17 04:01:58.000,2.4.3,96.0,pymilvus,conda-forge/faiss,,,,3776.0,3656.0,https://pypi.org/project/pymilvus,2024-05-17 04:01:58.000,120.0,501763.0,526638.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,1194047.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,,
+53,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-04-27 22:14:28.000000,2024-04-27 22:14:00,2765.0,18.0,7515.0,611.0,2225.0,216.0,1590.0,25711.0,The fastai deep learning library.,667.0,40,True,2024-04-27 22:14:28.000,2.7.15,149.0,fastai,,,,['pytorch'],17614.0,17325.0,https://pypi.org/project/fastai,2024-04-27 22:14:28.000,289.0,364828.0,364828.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+54,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-05-20 18:16:25.000000,2024-05-19 16:25:01,1225.0,39.0,2210.0,238.0,557.0,152.0,1139.0,12035.0,Download market data from Yahoo! Finances API.,112.0,40,True,2024-05-19 16:28:00.000,0.2.40,112.0,yfinance,ranaroussi/yfinance,,,,39076.0,38521.0,https://pypi.org/project/yfinance,2024-05-19 16:28:00.000,555.0,1466555.0,1469225.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,90791.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+55,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-05-23 13:23:34.000000,2024-05-06 09:49:38,1773.0,14.0,726.0,120.0,590.0,81.0,887.0,8531.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,87.0,40,True,2024-04-17 21:37:50.000,0.19.1,95.0,tokenizers,conda-forge/tokenizers,,,,78908.0,78169.0,https://pypi.org/project/tokenizers,2024-04-17 21:36:02.000,739.0,26168423.0,26203887.0,https://anaconda.org/conda-forge/tokenizers,2024-04-18 01:39:43.525,1631346.0,,,,,1.0,47.0,,,,,,,,,,,,,,,,,,,
+56,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-05-23 10:55:32.000000,2024-05-23 10:55:32,9881.0,119.0,1928.0,225.0,3940.0,278.0,3018.0,8219.0,Bayesian Modeling and Probabilistic Programming in Python.,492.0,40,True,2024-05-13 14:33:39.000,5.15.0,84.0,pymc3,conda-forge/pymc3,,,,191.0,,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,191.0,859223.0,865427.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,563143.0,,,,,1.0,1939.0,-1.0,,,,,,,,,,,,,,,,,,
+57,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-05-23 14:55:52.000000,2024-05-23 14:55:52,1440.0,150.0,809.0,96.0,1390.0,135.0,1291.0,7119.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",253.0,40,True,2024-05-10 17:47:54.000,0.30.1,51.0,accelerate,conda-forge/accelerate,,,['pytorch'],38019.0,36926.0,https://pypi.org/project/accelerate,2024-05-10 17:41:43.000,1093.0,8644717.0,8649109.0,https://anaconda.org/conda-forge/accelerate,2024-05-11 15:02:26.384,136180.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+58,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-05-23 12:54:22.000000,2024-05-23 12:49:32,1853.0,71.0,2208.0,163.0,850.0,87.0,1016.0,6706.0,Python Data. Leaflet.js Maps.,167.0,40,True,2024-02-29 08:58:17.000,0.16.0,31.0,folium,conda-forge/folium,,,,38296.0,37655.0,https://pypi.org/project/folium,2024-02-29 08:58:17.000,641.0,1249826.0,1318045.0,https://anaconda.org/conda-forge/folium,2024-02-29 12:23:49.642,2728783.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+59,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-05-23 12:51:09.000000,2024-05-23 12:50:39,1959.0,75.0,895.0,105.0,1618.0,436.0,1225.0,4237.0,Python tools for geographic data.,223.0,40,True,2024-04-28 13:49:29.000,0.14.4,54.0,geopandas,conda-forge/geopandas,,,['pandas'],37795.0,35372.0,https://pypi.org/project/geopandas,2024-04-28 13:49:24.000,2423.0,6197979.0,6274766.0,https://anaconda.org/conda-forge/geopandas,2024-04-28 20:22:12.956,3607737.0,,,,,1.0,2538.0,,,,,,,,,,,,,,,,,,,
+60,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-05-23 12:34:17.000000,2024-05-23 12:34:07,6289.0,111.0,1515.0,106.0,4265.0,675.0,724.0,4210.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",306.0,40,True,2023-12-18 13:28:11.000,4.9.4,37.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],17996.0,17691.0,https://pypi.org/project/tensorflow-datasets,2023-12-18 13:28:06.000,305.0,4357502.0,4358319.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,29445.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+61,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2024-05-23 14:33:16.000000,2024-05-22 22:51:20,3687.0,167.0,1096.0,136.0,3049.0,291.0,1191.0,2053.0,A library for training and deploying machine learning models on Amazon SageMaker.,439.0,40,True,2024-05-22 22:51:24.000,2.221.1,588.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",4116.0,3983.0,https://pypi.org/project/sagemaker,2024-05-22 22:51:24.000,133.0,24501217.0,24518828.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-05-23 04:49:38.975,792507.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+62,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-05-23 08:13:41.000000,2024-05-22 17:45:58,5762.0,64.0,710.0,54.0,5005.0,1519.0,2331.0,1544.0,A distributed task scheduler for Dask.,324.0,40,True,2024-05-17 20:12:56.000,2024.5.1,229.0,distributed,conda-forge/distributed,,,,35200.0,34458.0,https://pypi.org/project/distributed,2024-05-17 20:12:56.000,742.0,3935353.0,4220385.0,https://anaconda.org/conda-forge/distributed,2024-05-17 21:36:49.014,13681546.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+63,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-05-21 12:05:26.000000,2024-03-21 15:05:22,32610.0,6.0,4534.0,350.0,6359.0,117.0,6642.0,18075.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",593.0,39,True,2024-04-18 15:06:29.000,3.6.20,373.0,rasa,,,,['tensorflow'],4220.0,4161.0,https://pypi.org/project/rasa,2024-04-18 15:06:12.000,59.0,113934.0,113934.0,,,,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,,
+64,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-05-18 12:34:14.000000,2024-05-18 12:34:14,4516.0,4.0,4346.0,435.0,1692.0,381.0,1454.0,15314.0,Topic Modelling for Humans.,452.0,39,True,2023-08-24 08:48:21.000,4.3.2,93.0,gensim,conda-forge/gensim,,,,61013.0,59708.0,https://pypi.org/project/gensim,2023-08-24 08:48:21.000,1305.0,5278363.0,5311554.0,https://anaconda.org/conda-forge/gensim,2024-02-08 03:02:42.101,1259617.0,,,,,1.0,4557.0,,,piskvorky/gensim,,,,,,,,,,,,,,,,
+65,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-05-22 12:00:30.000000,2024-05-03 17:11:18,5942.0,44.0,2064.0,202.0,1190.0,83.0,2189.0,13620.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,261.0,39,True,2023-12-18 09:34:55.000,0.13.1,32.0,flair,conda-forge/python-flair,,,['pytorch'],3389.0,3260.0,https://pypi.org/project/flair,2023-12-18 09:34:55.000,129.0,228176.0,228713.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,24704.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+66,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2024-05-23 09:12:18.000000,2024-05-23 09:12:18,17652.0,428.0,952.0,117.0,3516.0,102.0,1538.0,9804.0,A hyperparameter optimization framework.,264.0,39,False,2024-04-01 06:04:15.000,3.6.1,64.0,optuna,conda-forge/optuna,,,,15457.0,14636.0,https://pypi.org/project/optuna,2024-04-01 06:04:15.000,821.0,2608938.0,2629752.0,https://anaconda.org/conda-forge/optuna,2024-03-29 06:40:40.525,978302.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+67,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-05-23 12:53:38.000000,2024-05-23 08:39:51,4531.0,226.0,1285.0,103.0,3765.0,824.0,1466.0,7466.0,A unified framework for machine learning with time series.,358.0,39,True,2024-05-01 13:08:23.000,0.29.0,67.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],2787.0,2678.0,https://pypi.org/project/sktime,2024-05-01 13:08:23.000,109.0,893423.0,921526.0,https://anaconda.org/conda-forge/sktime-all-extras,2024-05-04 19:43:57.141,955491.0,,,,,1.0,91.0,,,sktime/sktime,,,,,,,,,,,,,,,,
+68,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-05-23 08:42:18.000000,2024-05-22 09:26:09,4431.0,220.0,593.0,83.0,2372.0,221.0,705.0,5590.0,Flax is a neural network library for JAX that is designed for flexibility.,220.0,39,True,2024-04-30 09:57:17.000,0.8.3,44.0,flax,conda-forge/flax,,,['jax'],7836.0,7444.0,https://pypi.org/project/flax,2024-04-30 09:57:17.000,392.0,4265387.0,4266692.0,https://anaconda.org/conda-forge/flax,2024-04-30 18:49:11.574,49585.0,,,,,2.0,51.0,,,,,,,,,,,,,,,,,,,
+69,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-05-20 22:07:13.000000,2024-05-14 08:55:08,2267.0,20.0,555.0,88.0,822.0,272.0,918.0,3697.0,Manipulation and analysis of geometric objects.,153.0,39,True,2024-04-16 22:26:21.000,2.0.4,123.0,shapely,conda-forge/shapely,,,,71872.0,69334.0,https://pypi.org/project/shapely,2024-04-16 22:26:21.000,2538.0,25309279.0,25517279.0,https://anaconda.org/conda-forge/shapely,2024-05-16 17:07:32.339,9355203.0,,,,,2.0,3333.0,,,,,,,,,,,,,,,,,,,
+70,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2024-05-21 18:39:16.000000,2024-05-21 17:47:22,17978.0,119.0,1286.0,83.0,7838.0,530.0,4291.0,2574.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,371.0,39,True,2024-04-19 18:04:01.000,1.7.0,78.0,mne,conda-forge/mne,,,,4210.0,3865.0,https://pypi.org/project/mne,2024-04-19 18:04:01.000,345.0,118878.0,126495.0,https://anaconda.org/conda-forge/mne,2024-04-19 20:25:11.111,365650.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+71,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-05-23 13:43:18.000000,2024-05-22 06:21:48,6172.0,38.0,7245.0,427.0,2903.0,1207.0,8086.0,39134.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",195.0,38,True,2024-03-29 09:49:07.000,2.7.5,44.0,paddleocr,,,,['paddle'],2658.0,2612.0,https://pypi.org/project/paddleocr,2024-03-29 09:49:07.000,46.0,166850.0,166850.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+72,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-05-20 13:14:57.000000,2024-02-05 13:23:18,2706.0,,9204.0,369.0,3140.0,1566.0,6667.0,28065.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,38,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],2580.0,2516.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,64.0,194731.0,194731.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+73,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-05-23 14:12:15.000000,2024-05-23 14:12:14,35344.0,402.0,12994.0,945.0,24819.0,1187.0,,23285.0,Apache Flink Python API.,1861.0,38,True,2024-01-15 16:28:13.000,1.18.1,47.0,apache-flink,,,,,45.0,21.0,https://pypi.org/project/apache-flink,2024-03-15 08:32:38.000,24.0,78219.0,78219.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+74,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6813.0,1070.0,11124.0,1805.0,7758.0,20724.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7415.0,7293.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,116.0,579310.0,579729.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10772.0,,,,,2.0,26911.0,,,apache/mxnet,,,,,,,,,6.0,,,,,,,
+75,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2024-05-23 06:31:46.000000,2024-05-23 06:30:25,7526.0,135.0,3542.0,255.0,2995.0,970.0,2611.0,20316.0,Graph Neural Network Library for PyTorch.,495.0,38,True,2024-04-19 11:59:51.000,2.5.3,44.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],247.0,,https://pypi.org/project/torch-geometric,2024-04-19 11:59:51.000,247.0,286894.0,287806.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-05-04 18:04:48.733,41974.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+76,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2024-05-16 16:09:03.000000,2024-05-16 10:39:34,8540.0,24.0,2187.0,208.0,4174.0,22.0,1925.0,20218.0,Build multimodal AI applications with cloud-native stack.,176.0,38,True,2024-04-10 14:42:19.000,3.25.1,2461.0,jina,conda-forge/jina-core,jinaai/jina,,,1751.0,1724.0,https://pypi.org/project/jina,2024-04-10 14:39:06.000,27.0,31388.0,59008.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,63816.0,https://hub.docker.com/r/jinaai/jina,2024-05-16 11:00:01.190646,8.0,1306947.0,2.0,,-1.0,,,,,,,,,,,,,,,,,,
+77,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2024-05-23 08:57:49.000000,2024-05-21 22:12:59,886.0,86.0,1593.0,129.0,784.0,426.0,520.0,13539.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,142.0,38,True,2024-05-14 00:43:00.000,1.4.7,61.0,albumentations,conda-forge/albumentations,,,['pytorch'],24084.0,23577.0,https://pypi.org/project/albumentations,2024-05-04 05:34:03.000,507.0,2148731.0,2152331.0,https://anaconda.org/conda-forge/albumentations,2024-03-05 20:01:04.905,165619.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+78,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-05-23 03:51:39.000000,2024-05-23 03:51:38,4111.0,150.0,2963.0,168.0,4721.0,512.0,2296.0,13069.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",289.0,38,True,2024-05-13 01:10:39.000,2.2.1,453.0,dgl,,,,,367.0,240.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,127.0,103408.0,103408.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+79,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-05-23 11:32:24.000000,2024-05-23 11:31:24,1445.0,68.0,1633.0,151.0,782.0,218.0,561.0,12110.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,123.0,38,True,2024-05-07 19:57:59.000,4.8.3,61.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",3383.0,3201.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,182.0,793601.0,798247.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,432146.0,,,,,2.0,97.0,,,ydataai/ydata-profiling,,,,,,,,,,,,,,,,
+80,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,,2511.0,541.0,4118.0,685.0,2087.0,9856.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,38,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,15237.0,15065.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,538677.0,564305.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2409047.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+81,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-05-23 11:46:20.000000,2024-05-22 06:38:53,957.0,23.0,1116.0,123.0,291.0,25.0,696.0,9626.0,Unsupervised text tokenizer for Neural Network-based text generation.,87.0,38,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,,66985.0,65457.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1528.0,22258387.0,22276269.0,https://anaconda.org/conda-forge/sentencepiece,2024-03-19 05:24:18.341,797884.0,,,,,1.0,37086.0,,,,,,,,,,,,,,,,,,,
+82,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-05-22 09:52:28.000000,2024-05-22 09:52:28,2743.0,65.0,937.0,129.0,1865.0,269.0,638.0,9482.0,Geometric Computer Vision Library for Spatial AI.,262.0,38,True,2024-03-14 09:18:15.000,0.7.2,39.0,kornia,conda-forge/kornia,,,['pytorch'],10091.0,9852.0,https://pypi.org/project/kornia,2024-03-14 09:18:15.000,239.0,1437726.0,1440781.0,https://anaconda.org/conda-forge/kornia,2024-02-20 17:25:27.727,124635.0,,,,,1.0,1110.0,,,,,,,,,,,,,,,,,,,
+83,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-05-03 20:31:35.000000,2024-04-28 18:44:58,5223.0,56.0,1723.0,131.0,992.0,350.0,1934.0,8531.0,"An open-source, low-code machine learning library in Python.",136.0,38,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,,5731.0,5701.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,30.0,357071.0,358107.0,https://anaconda.org/conda-forge/pycaret,2024-04-25 15:07:46.052,45952.0,,,,,2.0,694.0,,,,,,,,,,,,,,,,,,,
+84,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-05-22 08:48:05.000000,2024-05-22 08:48:04,9814.0,140.0,1279.0,128.0,1200.0,124.0,948.0,7998.0,A PyTorch-based Speech Toolkit.,234.0,38,True,2024-02-26 20:55:33.000,1.0.0,16.0,speechbrain,,,,['pytorch'],1905.0,1874.0,https://pypi.org/project/speechbrain,2024-02-26 20:55:33.000,31.0,2498959.0,2498959.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+85,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-05-23 14:01:35.000000,2024-05-22 17:19:24,21277.0,395.0,2100.0,175.0,3285.0,310.0,2068.0,7962.0,End-to-End Speech Processing Toolkit.,425.0,38,True,2024-02-06 03:28:17.000,.202402,52.0,espnet,,,,,339.0,327.0,https://pypi.org/project/espnet,2024-02-06 03:28:41.000,12.0,65275.0,65276.0,,,,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,,
+86,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-05-15 18:29:05.000000,2024-05-15 18:29:03,12139.0,55.0,1075.0,164.0,463.0,669.0,746.0,4140.0,Probabilistic reasoning and statistical analysis in TensorFlow.,493.0,38,True,2024-03-12 19:43:46.000,0.24.0,52.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],564.0,,https://pypi.org/project/tensorflow-probability,2024-03-12 19:43:39.000,564.0,3959716.0,3962979.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-01-09 01:12:57.968,127273.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+87,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-05-23 14:20:44.000000,2024-05-23 10:00:16,10767.0,59.0,394.0,60.0,2989.0,1079.0,2178.0,2637.0,"With Holoviews, your data visualizes itself.",141.0,38,True,2024-03-22 00:10:16.630,3.0.2,161.0,holoviews,conda-forge/holoviews,,,['jupyter'],10872.0,10510.0,https://pypi.org/project/holoviews,2024-05-17 14:07:26.000,357.0,486796.0,520826.0,https://anaconda.org/conda-forge/holoviews,2024-02-12 17:18:29.765,1588869.0,,,,,2.0,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-03-22 00:10:16.630,5.0,225.0,,,,,,,,,,,
+88,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2024-05-23 09:28:39.000000,2024-05-22 12:49:07,1410.0,123.0,441.0,59.0,1361.0,149.0,677.0,1729.0,The official Python client for the Huggingface Hub.,162.0,38,True,2024-05-21 16:25:42.000,0.23.1,110.0,huggingface_hub,conda-forge/huggingface_hub,,,,1242.0,,https://pypi.org/project/huggingface_hub,2024-05-21 16:18:27.000,1242.0,34849741.0,34894805.0,https://anaconda.org/conda-forge/huggingface_hub,2024-05-03 19:11:46.697,1757525.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+89,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-05-21 17:04:26.616000,2024-05-20 22:32:01,1526.0,46.0,199.0,47.0,567.0,32.0,757.0,1129.0,Fiona reads and writes geographic data files.,74.0,38,True,2024-03-08 16:14:09.000,1.9.6,112.0,fiona,conda-forge/fiona,,,,20308.0,20115.0,https://pypi.org/project/fiona,2024-04-16 20:38:29.000,193.0,6188767.0,6308845.0,https://anaconda.org/conda-forge/fiona,2024-05-21 17:04:26.616,5523611.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+90,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-03-18 00:28:14.000000,2020-02-15 08:33:35,523.0,,6704.0,1285.0,166.0,670.0,227.0,32552.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,29226.0,28462.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,764.0,945629.0,947438.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,153794.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+91,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-04-06 08:14:32.000000,2020-06-01 14:58:26,2913.0,,2413.0,233.0,338.0,300.0,224.0,14190.0,Image augmentation for machine learning experiments.,36.0,37,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,20096.0,19845.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,251.0,457230.0,459881.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,156447.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+92,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-05-21 13:52:52.000000,2024-04-12 16:27:53,4816.0,17.0,4965.0,385.0,701.0,603.0,1346.0,12334.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",199.0,37,False,2024-02-24 10:01:09.000,2.7.0,58.0,glfw,conda-forge/glfw,,,,1531.0,1362.0,https://pypi.org/project/glfw,2024-02-24 10:01:09.000,169.0,204277.0,243757.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,201337.0,,,,,2.0,3774991.0,,,,,,,,,,,,,,,,,,,
+93,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-05-07 14:51:33.000000,2023-07-11 16:23:35,1095.0,,1519.0,255.0,670.0,415.0,1048.0,11898.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,39689.0,38892.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454,797.0,1144368.0,1147332.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,243125.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+94,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-05-20 08:13:52.000000,2024-05-20 08:13:52,1458.0,207.0,1842.0,135.0,197.0,5.0,1033.0,10328.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",62.0,37,True,2024-05-02 07:29:37.000,0.0.91,90.0,deepface,,,,,3188.0,3155.0,https://pypi.org/project/deepface,2024-05-02 07:27:16.000,33.0,62690.0,62690.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+95,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-05-23 14:43:10.000000,2024-05-23 11:45:12,29525.0,2454.0,1976.0,198.0,5369.0,30.0,3380.0,9296.0,Perform data science on data that remains in someone elses server.,510.0,37,True,2024-04-03 12:17:16.000,0.8.6,280.0,syft,,,,['pytorch'],4.0,1.0,https://pypi.org/project/syft,2024-04-28 12:46:46.000,3.0,10059.0,10337.0,,,,,,,,1.0,2506.0,,,,,,,,,,,,,,,,,,,
+96,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2024-05-20 21:18:42.000000,2024-05-07 16:35:27,583.0,12.0,1139.0,263.0,174.0,109.0,170.0,8978.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,37,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,39076.0,38738.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,338.0,1115449.0,1118119.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,248372.0,,,,,1.0,117.0,,,,,,,,,,,,,,,,,,,
+97,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-05-23 12:47:28.000000,2024-05-21 14:44:52,28484.0,168.0,771.0,127.0,6158.0,574.0,1665.0,7856.0,NumPy & SciPy for GPU.,364.0,37,True,2024-04-19 07:40:12.000,13.1.0,139.0,cupy,conda-forge/cupy,cupy/cupy,,,2271.0,2054.0,https://pypi.org/project/cupy,2024-04-19 04:17:35.000,217.0,22630.0,101403.0,https://anaconda.org/conda-forge/cupy,2024-04-29 17:22:48.759,3616831.0,https://hub.docker.com/r/cupy/cupy,2024-04-19 07:42:49.196765,11.0,62781.0,1.0,174500.0,,,,,,,,,,,,,,,,,,,
+98,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2024-05-23 14:37:05.000000,2024-05-23 14:37:01,4034.0,114.0,1072.0,151.0,1641.0,393.0,884.0,3711.0,Fast data visualization and GUI tools for scientific / engineering applications.,279.0,37,True,2024-04-29 02:18:56.000,0.13.7,25.0,pyqtgraph,conda-forge/pyqtgraph,,,,10441.0,9517.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,924.0,229914.0,241329.0,https://anaconda.org/conda-forge/pyqtgraph,2024-05-02 20:24:38.556,536507.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+99,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-05-21 07:32:22.456000,2024-05-10 14:45:37,3850.0,23.0,523.0,147.0,1157.0,143.0,1640.0,2150.0,Rasterio reads and writes geospatial raster datasets.,157.0,37,True,2024-04-12 18:29:54.000,1.3.10,157.0,rasterio,conda-forge/rasterio,,,,12747.0,11509.0,https://pypi.org/project/rasterio,2024-04-16 21:46:35.000,1238.0,2704823.0,2779305.0,https://anaconda.org/conda-forge/rasterio,2024-05-21 07:32:22.456,2978990.0,,,,,2.0,862.0,,,,,,,,,,,,,,,,,,,
+100,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2024-05-13 18:30:44.000000,2024-05-13 18:28:50,1241.0,30.0,209.0,32.0,47.0,13.0,166.0,1579.0,Simple Python interface for Graphviz.,23.0,37,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,68290.0,65957.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2333.0,11555347.0,11555877.0,https://anaconda.org/anaconda/python-graphviz,2024-04-08 21:04:04.101,45097.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+101,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2024-05-20 10:55:33.000000,2024-05-11 06:28:19,1530.0,9.0,286.0,31.0,488.0,105.0,496.0,1424.0,Python library for reading and writing image data.,111.0,37,True,2024-04-22 02:22:40.000,2.34.1,91.0,imageio,conda-forge/imageio,,,,129324.0,127148.0,https://pypi.org/project/imageio,2024-04-22 02:22:35.000,2176.0,22306383.0,22444701.0,https://anaconda.org/conda-forge/imageio,2024-04-22 04:44:13.491,6361955.0,,,,,2.0,1050.0,,,,,,,,,,,,,,,,,,,
+102,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-05-23 11:02:59.000000,2024-05-23 10:43:46,10286.0,65.0,551.0,69.0,2402.0,296.0,1763.0,1112.0,Machine learning for NeuroImaging in Python.,236.0,37,True,2024-04-09 09:15:50.000,0.10.4,47.0,nilearn,conda-forge/nilearn,,,['sklearn'],3440.0,3168.0,https://pypi.org/project/nilearn,2024-04-09 09:09:58.000,272.0,63183.0,69619.0,https://anaconda.org/conda-forge/nilearn,2024-04-09 13:18:52.622,270146.0,,,,,1.0,163.0,,,,,,,,,,,,,,,,,,,
+103,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-05-22 05:52:39.000000,2024-02-10 14:20:58,4668.0,,3482.0,265.0,732.0,75.0,956.0,30043.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",165.0,36,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",1306.0,1260.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,46.0,120791.0,178793.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,11931.0,,,,,1.0,2189495.0,,,,,,,,,,,,,,,,,,,
+104,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2024-05-15 06:40:00.000000,2024-05-08 07:52:03,2292.0,9.0,5171.0,504.0,159.0,1076.0,1358.0,21527.0,State-of-the-art 2D and 3D Face Analysis Project.,60.0,36,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],2161.0,2141.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,20.0,381425.0,629547.0,,,,,,,,2.0,3225598.0,,,,,,,,,,,,,,,,,,,
+105,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-03-27 09:20:02.000000,2024-03-03 06:50:21,1649.0,2.0,2830.0,378.0,458.0,14.0,1855.0,14521.0,Python Echarts Plotting Library.,42.0,36,True,2024-03-03 07:03:55.000,2.0.5,73.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],4314.0,4126.0,https://pypi.org/project/pyecharts,2024-03-03 07:02:08.000,188.0,180879.0,180882.0,,,,,,,,2.0,45.0,,,,,,,,,,,,,,,,,,,
+106,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-05-23 14:46:10.000000,2024-05-23 14:28:24,3398.0,252.0,1648.0,126.0,3688.0,168.0,3096.0,13988.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",243.0,36,True,2024-05-16 13:40:34.000,2.1.2,96.0,haystack,,,,,274.0,269.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,4389.0,4389.0,,,,,,,,2.0,24.0,,,,,,,,,,,,,,,,,,,
+107,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-05-23 14:50:13.000000,2024-05-21 13:05:12,6217.0,59.0,3401.0,243.0,1594.0,1076.0,4117.0,10625.0,Open-source simulator for autonomous driving research.,187.0,36,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,720.0,713.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,7.0,12151.0,12151.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+108,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-05-23 13:51:22.000000,2024-05-23 01:10:25,6509.0,361.0,2101.0,192.0,6545.0,126.0,2032.0,10257.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",312.0,36,True,2024-02-28 06:18:16.000,1.23.0,72.0,nemo-toolkit,,,,['pytorch'],31.0,21.0,https://pypi.org/project/nemo-toolkit,2024-02-28 05:27:18.000,10.0,48539.0,51648.0,,,,,,,,2.0,174152.0,,,,,,,,,,,,,,,,,,,
+109,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2024-04-01 18:07:01.000000,2024-04-01 11:19:59,863.0,8.0,1275.0,141.0,499.0,41.0,556.0,6720.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,84.0,36,True,2024-03-31 19:38:20.000,0.12.2,36.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],27876.0,27488.0,https://pypi.org/project/imbalanced-learn,2024-03-31 19:27:16.000,388.0,11252690.0,11264673.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-03-31 19:50:51.503,563238.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+110,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-05-23 14:35:37.000000,2024-05-23 14:35:37,3041.0,81.0,977.0,90.0,3352.0,334.0,2665.0,5407.0,AI Toolkit for Healthcare Imaging.,189.0,36,True,2024-05-21 08:24:42.000,1.3.1,86.0,monai,conda-forge/monai,,,['pytorch'],2368.0,2273.0,https://pypi.org/project/monai,2024-05-21 04:45:20.000,95.0,147712.0,148528.0,https://anaconda.org/conda-forge/monai,2024-05-21 06:44:33.713,23675.0,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,
+111,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-05-22 17:07:27.000000,2024-05-17 16:56:46,10466.0,173.0,1623.0,148.0,2298.0,585.0,1236.0,5183.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",240.0,36,True,2024-04-03 16:21:23.000,2.8.0,854.0,deepchem,conda-forge/deepchem,,,['tensorflow'],384.0,371.0,https://pypi.org/project/deepchem,2024-05-17 17:03:25.000,13.0,25227.0,27491.0,https://anaconda.org/conda-forge/deepchem,2024-04-05 16:46:45.105,106438.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+112,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-05-23 13:49:10.000000,2024-05-10 19:47:30,2343.0,73.0,205.0,64.0,134.0,67.0,565.0,3851.0,A Grammar of Graphics for Python.,107.0,36,True,2024-05-10 08:15:43.000,0.13.6,27.0,plotnine,conda-forge/plotnine,,,,7925.0,7660.0,https://pypi.org/project/plotnine,2024-05-09 20:44:49.000,265.0,3191055.0,3198735.0,https://anaconda.org/conda-forge/plotnine,2024-05-10 08:18:51.149,361002.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+113,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-05-23 07:54:59.000000,2024-05-23 00:17:31,4395.0,260.0,435.0,36.0,3266.0,550.0,1078.0,2402.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,159.0,36,True,2024-05-14 09:37:23.000,0.43.8,94.0,pyvista,conda-forge/pyvista,,,['jupyter'],3436.0,2964.0,https://pypi.org/project/pyvista,2024-05-14 09:37:23.000,472.0,275747.0,285932.0,https://anaconda.org/conda-forge/pyvista,2024-05-14 14:55:18.741,478267.0,,,,,2.0,796.0,,,,,,,,,,,,,,,,,,,
+114,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-05-10 09:11:35.000000,2024-05-10 09:11:35,1542.0,14.0,372.0,47.0,1491.0,175.0,678.0,1536.0,Exploratory analysis of Bayesian models with Python.,158.0,36,True,2024-04-05 08:50:12.000,0.18.0,37.0,arviz,conda-forge/arviz,,,,6822.0,6539.0,https://pypi.org/project/arviz,2024-04-05 08:50:12.000,283.0,2182429.0,2226651.0,https://anaconda.org/conda-forge/arviz,2024-04-08 15:25:03.090,2122586.0,,,,,1.0,136.0,,,,,,,,,,,,,,,,,,,
+115,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-05-21 22:33:48.000000,2024-05-06 13:09:16,5858.0,75.0,257.0,37.0,807.0,128.0,403.0,629.0,Python package to access a cacophony of neuro-imaging file formats.,104.0,36,True,2024-02-27 04:17:30.000,5.2.1,42.0,nibabel,conda-forge/nibabel,,,,20070.0,19043.0,https://pypi.org/project/nibabel,2024-02-27 04:13:17.000,1027.0,505296.0,520360.0,https://anaconda.org/conda-forge/nibabel,2024-02-27 14:41:50.570,708017.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+116,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-05-23 08:25:47.000000,2024-03-13 13:24:17,2322.0,2.0,6252.0,420.0,1334.0,1244.0,3042.0,29428.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,425.0,35,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],3256.0,3147.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,109.0,307378.0,308843.0,https://anaconda.org/conda-forge/fairseq,2024-05-17 03:12:57.351,67251.0,,,,,2.0,333.0,,,,,,,,,,,,,,,,,,,
+117,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-05-17 09:10:59.000000,2023-09-04 11:42:16,615.0,,2940.0,307.0,247.0,382.0,588.0,22289.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,35,True,2023-09-04 11:55:27.000,1.7.1,32.0,easyocr,,,,,6617.0,6448.0,https://pypi.org/project/easyocr,2023-09-04 11:55:27.000,169.0,245812.0,482335.0,,,,,,,,1.0,11116598.0,,,,,,,,,,,,,,,,,,,
+118,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-05-22 12:40:47.000000,2024-05-20 08:56:40,8907.0,74.0,2994.0,270.0,1248.0,155.0,683.0,18150.0,Best Practices on Recommendation Systems.,131.0,35,True,2024-05-01 18:45:29.000,1.2.0,13.0,recommenders,,,,,114.0,110.0,https://pypi.org/project/recommenders,2024-05-01 18:45:29.000,4.0,26269.0,26276.0,,,,,,,,1.0,492.0,,,recommenders-team/recommenders,,,,,,,,,,,,,,,,
+119,ivy,unifyai/ivy,ml-frameworks,,https://github.com/Transpile-AI/ivy,https://github.com/Transpile-AI/ivy,Apache-2.0,2021-01-19 08:37:25.000,2024-05-22 16:27:29.000000,2024-05-22 08:39:58,18273.0,518.0,5865.0,71.0,11679.0,1020.0,15931.0,14028.0,The Unified AI Framework.,1472.0,35,True,2023-06-29 19:33:01.167,0.0.0,116.0,ivy,,,,,12.0,,https://pypi.org/project/ivy,2024-03-15 11:49:07.000,12.0,821.0,821.0,,,,,,,,2.0,,,,Transpile-AI/ivy,,,,,,,,,,,,,,,,
+120,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-03-27 20:19:41.000000,2024-03-25 12:37:43,1333.0,1.0,2213.0,333.0,1588.0,387.0,1858.0,13989.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,35,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1174.0,1145.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,29.0,63390.0,63390.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,,
+121,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2024-04-24 19:01:00.000000,2021-06-01 10:43:00,1848.0,,4403.0,545.0,716.0,402.0,1272.0,13919.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,35,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,5758.0,5740.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,18.0,31089.0,31089.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+122,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-05-02 09:05:39.790000,2023-08-20 17:38:53,890.0,,1142.0,317.0,267.0,56.0,343.0,12783.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,35,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,4063.0,3877.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,186.0,1211109.0,1220503.0,https://anaconda.org/conda-forge/python-annoy,2024-05-02 09:05:39.790,413340.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+123,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2243.0,279.0,3096.0,91.0,2477.0,11701.0,"An open-source NLP research library, built on PyTorch.",266.0,35,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],4189.0,4064.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,49527.0,51476.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,126688.0,,,,,2.0,63.0,,,,,,,,,,,,,,,,,,,
+124,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-05-17 09:36:48.000000,2022-12-08 17:49:19,746.0,,1002.0,134.0,230.0,352.0,272.0,8427.0,Manipulate audio with a simple and easy high level interface.,95.0,35,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,58713.0,57583.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1130.0,4724865.0,4726310.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,93983.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+125,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-05-16 20:28:31.000000,2024-05-05 04:04:50,542.0,55.0,2374.0,282.0,154.0,321.0,318.0,8087.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",50.0,35,True,2024-05-05 04:42:09.000,3.10.4,59.0,SpeechRecognition,conda-forge/speechrecognition,,,,508.0,21.0,https://pypi.org/project/SpeechRecognition,2024-05-05 04:36:10.000,487.0,811340.0,815411.0,https://anaconda.org/conda-forge/speechrecognition,2024-05-06 02:00:59.322,183198.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+126,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-05-23 15:10:14.000000,2024-05-23 14:23:24,20278.0,980.0,498.0,53.0,2962.0,487.0,1013.0,6807.0,"Visualize, create, and debug image and video datasets and model predictions.",125.0,35,True,2024-04-15 21:52:17.000,0.23.8,142.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",590.0,578.0,https://pypi.org/project/fiftyone,2024-04-15 21:52:17.000,12.0,57612.0,57612.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+127,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2024-05-23 14:21:40.000000,2024-05-13 14:53:52,32443.0,85.0,1988.0,384.0,6818.0,2752.0,6600.0,6751.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",264.0,35,True,,,152.0,h2o,,,,,67.0,21.0,https://pypi.org/project/h2o,2024-05-13 17:04:43.000,46.0,302369.0,302369.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+128,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-05-23 03:36:15.000000,2024-05-23 03:36:15,3098.0,160.0,744.0,73.0,3465.0,235.0,820.0,6627.0,"The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference..",199.0,35,True,2024-05-16 09:40:43.000,1.2.16,147.0,bentoml,,,,,1822.0,1799.0,https://pypi.org/project/bentoml,2024-05-16 09:40:43.000,23.0,102886.0,102916.0,,,,,,,,2.0,1615.0,,,,,,,,,,,,,,,,,,,
+129,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-05-21 08:13:28.000000,2024-05-15 16:51:14,2891.0,11.0,2225.0,175.0,1149.0,28.0,1419.0,6614.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,192.0,35,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,,['pytorch'],288.0,270.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,18.0,12032.0,12032.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+130,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-05-23 11:50:07.000000,2024-05-21 14:32:22,955.0,2.0,796.0,87.0,206.0,115.0,662.0,4217.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,35,True,2023-12-31 11:17:16.000,80,72.0,opencv-python,,,,,403256.0,393884.0,https://pypi.org/project/opencv-python,2023-12-31 13:34:00.000,9372.0,14083888.0,14083888.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+131,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-05-22 11:04:30.000000,2024-05-21 22:44:00,3778.0,97.0,810.0,58.0,1572.0,366.0,1243.0,4013.0,"Serve, optimize and scale PyTorch models in production.",195.0,35,True,2024-05-17 03:59:56.000,0.11.0,24.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],675.0,654.0,https://pypi.org/project/torchserve,2024-05-16 18:10:47.000,21.0,50937.0,77493.0,https://anaconda.org/pytorch/torchserve,2024-05-16 18:53:25.751,181179.0,https://hub.docker.com/r/pytorch/torchserve,2024-05-16 18:48:58.030552,25.0,1250902.0,2.0,5704.0,,,,,,,,,,,,,,,,,,,
+132,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-05-23 11:01:00.000000,2024-05-02 08:02:26,8512.0,42.0,698.0,100.0,13205.0,52.0,832.0,3717.0,State of the Art Natural Language Processing.,112.0,35,True,2024-04-05 17:44:10.000,5.3.3,141.0,spark-nlp,,,,['spark'],467.0,431.0,https://pypi.org/project/spark-nlp,2024-04-05 16:57:09.000,36.0,4143275.0,4143275.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+133,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-05-23 11:39:27.000000,2024-04-24 22:56:36,1309.0,10.0,810.0,290.0,1467.0,323.0,516.0,3452.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",155.0,35,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,,['pytorch'],259.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,259.0,721599.0,721599.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+134,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2024-05-20 12:34:50.000000,2024-05-20 12:34:48,7378.0,15.0,616.0,116.0,1165.0,348.0,1110.0,3230.0,High-performance interactive 2D/3D data visualization library.,194.0,35,True,2024-03-14 16:50:16.000,0.14.2,38.0,vispy,conda-forge/vispy,,,['jupyter'],1674.0,1525.0,https://pypi.org/project/vispy,2024-03-14 16:13:05.000,146.0,90959.0,102158.0,https://anaconda.org/conda-forge/vispy,2024-05-17 02:25:53.125,492216.0,,,,,2.0,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,13.0,,,,,,,,,,,
+135,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-05-14 19:20:12.000000,2024-04-23 07:20:16,5324.0,9.0,274.0,79.0,791.0,20.0,124.0,2799.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,35,True,2024-04-19 11:40:18.000,9.0.0,234.0,thinc,conda-forge/thinc,,,,47472.0,47347.0,https://pypi.org/project/thinc,2024-04-19 11:39:47.000,125.0,9822946.0,9881160.0,https://anaconda.org/conda-forge/thinc,2024-05-11 21:24:32.807,2794282.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+136,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-05-23 11:34:46.000000,2024-05-14 17:59:27,2308.0,7.0,627.0,73.0,2878.0,221.0,720.0,2397.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",225.0,35,True,2024-04-24 16:19:43.000,2.3.0,34.0,torchaudio,,,,['pytorch'],1054.0,,https://pypi.org/project/torchaudio,2024-04-24 15:48:50.000,1054.0,5309791.0,5309791.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+137,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-05-23 07:27:48.000000,2024-05-22 16:27:48,3052.0,196.0,294.0,68.0,1782.0,114.0,618.0,2282.0,Adaptive Experimentation Platform.,168.0,35,True,2024-05-02 22:09:25.000,0.4.0,41.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],763.0,715.0,https://pypi.org/project/ax-platform,2024-05-02 22:09:25.000,48.0,96034.0,96597.0,https://anaconda.org/conda-forge/ax-platform,2024-05-03 19:13:18.752,19714.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+138,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-05-23 14:52:21.000000,2024-05-22 16:56:49,4175.0,211.0,541.0,45.0,4517.0,297.0,968.0,2134.0,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry...",167.0,35,True,2024-05-06 23:38:06.000,0.36.0,57.0,pennylane,conda-forge/pennylane,,,,990.0,888.0,https://pypi.org/project/pennylane,2024-05-06 23:38:06.000,102.0,56259.0,57927.0,https://anaconda.org/conda-forge/pennylane,2024-05-07 13:17:23.986,50014.0,,,,,1.0,78.0,,,,,,,,,,,,,,,,,,,
+139,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-05-23 06:25:44.000000,2024-05-21 12:38:35,1789.0,111.0,380.0,26.0,1512.0,77.0,745.0,1971.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",241.0,35,True,2024-05-15 11:24:52.000,1.4.0.post0,46.0,metrics,conda-forge/torchmetrics,,,['pytorch'],25028.0,25026.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,2.0,4742.0,40342.0,https://anaconda.org/conda-forge/torchmetrics,2024-05-16 05:28:17.806,1347676.0,,,,,2.0,5158.0,,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,,
+140,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2024-05-21 16:16:07.000000,2024-05-21 16:16:06,3029.0,63.0,360.0,55.0,1162.0,307.0,956.0,1366.0,Cartopy - a cartographic python library with matplotlib support.,126.0,35,True,2024-04-10 17:52:06.000,0.23.0,30.0,cartopy,conda-forge/cartopy,,,,5514.0,4931.0,https://pypi.org/project/cartopy,2024-04-10 17:52:06.000,583.0,234870.0,309479.0,https://anaconda.org/conda-forge/cartopy,2024-05-16 22:28:29.744,3581269.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+141,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2024-04-28 23:29:41.096000,2024-04-28 20:57:25,1553.0,18.0,152.0,41.0,133.0,5.0,642.0,1166.0,A Python data analysis library that is optimized for humans instead of machines.,53.0,35,True,2024-04-28 20:24:49.000,1.10.2,35.0,agate,conda-forge/agate,,,,3243.0,3198.0,https://pypi.org/project/agate,2024-04-28 20:24:49.000,45.0,6795767.0,6800751.0,https://anaconda.org/conda-forge/agate,2024-04-28 23:29:41.096,179445.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+142,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2024-05-23 11:09:45.000000,2024-05-22 20:14:33,1674.0,85.0,168.0,30.0,1573.0,70.0,179.0,1166.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,79.0,35,True,2024-05-16 14:22:44.000,2024.4.0,27.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],10772.0,10730.0,https://pypi.org/project/scikit-learn-intelex,2024-05-13 17:40:51.000,42.0,111122.0,118324.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-04-19 14:33:00.666,266482.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+143,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-05-06 11:54:14.000000,2024-05-06 11:54:14,14881.0,71.0,506.0,51.0,2291.0,394.0,960.0,738.0,Workflows and interfaces for neuroimaging packages.,256.0,35,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,4513.0,4378.0,https://pypi.org/project/nipype,2023-04-06 12:55:55.544,135.0,164750.0,178404.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,614438.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+144,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-05-23 14:58:12.000000,2024-05-23 09:44:06,3300.0,227.0,4241.0,379.0,3928.0,415.0,1204.0,38050.0,"Making large AI models cheaper, faster and more accessible.",184.0,34,True,2024-04-27 11:00:32.000,0.3.7,37.0,,,,,,371.0,371.0,,,,,,,,,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,
+145,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-05-22 17:16:50.000000,2024-05-21 21:37:34,1518.0,17.0,7248.0,383.0,664.0,487.0,3054.0,28957.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",269.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1803.0,1792.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,11.0,1.0,5694.0,https://anaconda.org/conda-forge/detectron2,2024-05-19 11:29:45.019,261898.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+146,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-05-23 13:06:47.000000,2024-05-23 01:35:18,8012.0,330.0,2678.0,295.0,194.0,25.0,1058.0,26407.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2024-05-18 02:20:08.000,7.6.8,645.0,netron,,,,"['pytorch', 'tensorflow']",90.0,12.0,https://pypi.org/project/netron,2024-05-18 02:20:08.000,78.0,21494.0,135552.0,,,,,,,,1.0,114058.0,,,,,,,,,,,,,,,,,,,
+147,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-05-19 03:10:51.802000,2024-03-13 15:16:33,391.0,1.0,4675.0,844.0,268.0,556.0,611.0,25626.0,Library for fast text representation and classification.,68.0,34,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,6203.0,5976.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,227.0,1238987.0,1240820.0,https://anaconda.org/conda-forge/fasttext,2024-05-19 03:10:51.802,80688.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+148,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,libpng-2.0,2018-08-02 17:56:45.000,2024-05-23 09:03:45.000000,2024-05-23 08:39:01,18302.0,1044.0,2722.0,379.0,4983.0,427.0,3431.0,21514.0,The platform for customizing AI from enterprise data.,826.0,34,False,2024-05-22 11:21:02.000,24.5.4.0,463.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2024-05-22 11:22:07.000,,18663.0,18663.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+149,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-05-18 14:08:15.000000,2024-05-18 14:08:15,800.0,9.0,4458.0,437.0,444.0,404.0,1729.0,17866.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,179.0,34,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,110.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,89.0,811693.0,843330.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1169531.0,,,,,1.0,2520.0,,,,,,,,,,,,,,,,,,,
+150,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-05-23 04:26:40.000000,2024-04-29 16:39:29,3849.0,23.0,1163.0,192.0,2854.0,365.0,757.0,10879.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",155.0,34,True,2024-04-08 23:26:12.000,0.10.3,55.0,ludwig,,,,['tensorflow'],257.0,251.0,https://pypi.org/project/ludwig,2024-04-08 23:26:12.000,6.0,4453.0,4453.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+151,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-03-19 22:44:23.623000,2023-12-09 05:39:53,576.0,,2301.0,219.0,245.0,119.0,417.0,9972.0,A little word cloud generator in Python.,72.0,34,True,2023-12-09 14:04:35.000,1.9.3,20.0,wordcloud,conda-forge/wordcloud,,,,513.0,21.0,https://pypi.org/project/wordcloud,2023-12-09 14:04:35.000,492.0,1960403.0,1970837.0,https://anaconda.org/conda-forge/wordcloud,2024-03-19 22:44:23.623,479968.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+152,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-05-20 16:44:45.000000,2024-04-22 23:01:37,2591.0,38.0,631.0,100.0,471.0,578.0,1228.0,8990.0,An open source multi-tool for exploring and publishing data.,78.0,34,True,2023-12-22 23:22:42.000,0.64.6,147.0,datasette,conda-forge/datasette,,,,1651.0,1257.0,https://pypi.org/project/datasette,2024-03-13 02:20:24.000,394.0,40161.0,41082.0,https://anaconda.org/conda-forge/datasette,2024-01-03 22:47:34.900,34040.0,,,,,2.0,64.0,,,,,,,,,datasette,,,,,,,,,,
+153,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2024-05-11 13:16:30.000000,2024-05-09 19:06:28,10414.0,8.0,1927.0,350.0,3424.0,134.0,1134.0,8418.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,336.0,34,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,38.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,38.0,84161.0,87831.0,https://anaconda.org/conda-forge/vowpalwabbit,2024-04-26 11:19:26.965,157829.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+154,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-05-22 06:18:20.000000,2024-05-07 17:19:43,2471.0,21.0,986.0,201.0,2302.0,253.0,839.0,8394.0,Deep universal probabilistic programming with Python and PyTorch.,155.0,34,True,2024-02-19 18:03:28.000,1.9.0,35.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],172.0,,https://pypi.org/project/pyro-ppl,2024-02-19 18:03:28.000,172.0,282604.0,286932.0,https://anaconda.org/conda-forge/pyro-ppl,2024-02-20 17:06:11.848,164491.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+155,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-05-12 05:57:55.000000,2024-05-12 05:49:07,676.0,7.0,335.0,67.0,110.0,34.0,139.0,7992.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",27.0,34,True,2024-04-28 04:07:49.000,0.8.0,15.0,einops,conda-forge/einops,,,,36573.0,34827.0,https://pypi.org/project/einops,2024-04-28 04:07:49.000,1746.0,7637269.0,7642249.0,https://anaconda.org/conda-forge/einops,2024-04-28 06:22:09.150,214159.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+156,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-05-23 14:22:14.000000,2024-05-23 04:33:24,927.0,70.0,722.0,284.0,1223.0,319.0,372.0,7666.0,"Build and manage real-life ML, AI, and data science projects with ease!.",89.0,34,True,2024-05-22 00:31:28.000,2.11.16,123.0,metaflow,conda-forge/metaflow,,,,698.0,653.0,https://pypi.org/project/metaflow,2024-05-22 00:31:28.000,45.0,535054.0,538807.0,https://anaconda.org/conda-forge/metaflow,2024-05-09 09:11:54.860,172662.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+157,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-05-23 05:57:10.000000,2024-04-20 16:29:42,4447.0,122.0,870.0,141.0,484.0,93.0,785.0,7078.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",68.0,34,True,2024-04-20 18:58:25.000,1.8.2,25.0,stanza,stanfordnlp/stanza,,,,2938.0,2769.0,https://pypi.org/project/stanza,2024-04-20 18:57:48.000,169.0,256837.0,256985.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7424.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+158,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-05-23 05:07:41.000000,2024-05-23 05:07:41,1369.0,29.0,860.0,157.0,1715.0,146.0,863.0,7074.0,An open source python library for automated feature engineering.,72.0,34,True,2024-05-14 18:59:58.000,1.31.0,106.0,featuretools,conda-forge/featuretools,,,,1711.0,1638.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,73.0,67981.0,71899.0,https://anaconda.org/conda-forge/featuretools,2024-05-15 15:26:44.535,184183.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+159,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2024-04-27 14:18:10.000000,2023-11-16 08:43:39,1418.0,,872.0,218.0,222.0,174.0,233.0,6820.0,Efficiently computes derivatives of numpy code.,56.0,34,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,8472.0,8208.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,264.0,1319164.0,1337710.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,426571.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+160,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-05-15 16:59:32.016000,2024-05-14 15:47:55,3273.0,11.0,924.0,138.0,652.0,53.0,1134.0,6732.0,Python library for audio and music analysis.,120.0,34,True,2024-05-14 15:48:50.000,0.10.2.post1,43.0,librosa,conda-forge/librosa,,,,1193.0,,https://pypi.org/project/librosa,2024-05-14 15:49:38.000,1193.0,2821596.0,2837760.0,https://anaconda.org/conda-forge/librosa,2024-05-15 16:59:32.016,743554.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+161,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-05-22 07:08:28.000000,2024-05-22 07:08:00,2364.0,58.0,635.0,93.0,259.0,456.0,547.0,5309.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",96.0,34,True,2024-05-17 20:17:06.000,1.16.1,163.0,clearml,,allegroai/trains,,,1143.0,1109.0,https://pypi.org/project/clearml,2024-05-21 10:20:23.000,34.0,296482.0,297036.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30241.0,2.0,2493.0,,,,,,,,,,,,,,,,,,,
+162,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-03-31 13:12:23.000000,2024-03-31 13:12:23,1645.0,6.0,845.0,118.0,527.0,144.0,341.0,4782.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,106.0,34,True,2024-01-05 09:13:47.000,0.23.1,52.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],13616.0,13461.0,https://pypi.org/project/mlxtend,2024-01-05 09:13:47.000,155.0,619625.0,626273.0,https://anaconda.org/conda-forge/mlxtend,2024-01-05 18:58:45.309,305852.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+163,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2024-05-23 09:05:18.000000,2024-05-06 14:43:44,12226.0,63.0,1105.0,101.0,1340.0,152.0,752.0,4518.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",135.0,34,True,2024-02-17 23:58:41.000,1.17.1,58.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,532.0,521.0,https://pypi.org/project/adversarial-robustness-toolbox,2024-02-17 23:56:02.000,11.0,26951.0,27800.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2024-02-18 02:39:29.665,39063.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+164,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-05-23 14:16:33.000000,2024-05-23 10:01:25,1699.0,39.0,605.0,60.0,1846.0,154.0,1260.0,4463.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,518.0,34,True,2024-04-01 10:35:11.000,0.5.0.post2,1628.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2990.0,2906.0,https://pypi.org/project/pytorch-ignite,2024-05-23 00:13:43.000,84.0,301732.0,304299.0,https://anaconda.org/pytorch/ignite,2024-04-01 12:32:01.049,182265.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+165,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-05-17 00:01:43.000000,2024-05-17 00:01:43,1152.0,18.0,596.0,119.0,872.0,309.0,1058.0,4111.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",167.0,34,True,2024-04-22 23:27:42.000,7.2,47.0,coremltools,conda-forge/coremltools,,,,3905.0,3834.0,https://pypi.org/project/coremltools,2024-04-23 00:06:00.000,71.0,322688.0,324138.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,57193.0,,,,,2.0,9639.0,,,,,,,,,,,,,,,,,,,
+166,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-05-21 18:41:24.000000,2024-05-02 18:05:35,1286.0,16.0,246.0,36.0,441.0,96.0,218.0,3601.0,Lightning fast forecasting with statistical and econometric models.,39.0,34,True,2024-04-08 16:44:34.000,1.7.4,32.0,statsforecast,conda-forge/statsforecast,,,,943.0,888.0,https://pypi.org/project/statsforecast,2024-04-08 16:44:34.000,55.0,581976.0,584617.0,https://anaconda.org/conda-forge/statsforecast,2024-04-08 20:04:06.356,68675.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+167,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-05-07 05:39:07.350000,2024-04-08 16:26:55,1182.0,2.0,1674.0,150.0,210.0,9.0,690.0,3444.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,34,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],286.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,286.0,5446826.0,5448980.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-05-07 05:39:07.350,96938.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+168,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-05-23 14:40:58.000000,2024-05-23 13:16:55,1505.0,13.0,363.0,90.0,752.0,138.0,447.0,3221.0,Quickly and accurately render even the largest data.,55.0,34,True,2024-04-23 11:57:48.000,0.16.1,47.0,datashader,conda-forge/datashader,,,,4300.0,4121.0,https://pypi.org/project/datashader,2024-05-23 13:31:47.000,179.0,114077.0,132467.0,https://anaconda.org/conda-forge/datashader,2024-04-23 12:02:45.109,882731.0,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,,
+169,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-05-22 23:25:30.000000,2024-05-20 21:46:11,1878.0,81.0,372.0,53.0,1621.0,71.0,421.0,2971.0,Bayesian optimization in PyTorch.,114.0,34,True,2024-05-01 20:33:09.000,0.11.0,44.0,botorch,conda-forge/botorch,,,['pytorch'],1069.0,995.0,https://pypi.org/project/botorch,2024-05-01 20:33:09.000,74.0,149160.0,151548.0,https://anaconda.org/conda-forge/botorch,2024-05-01 22:13:21.203,107468.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+170,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-05-23 15:05:53.000000,2024-05-23 13:58:55,1029.0,54.0,372.0,58.0,1189.0,347.0,395.0,2209.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,104.0,34,True,2024-05-09 11:17:31.000,1.19.2,63.0,optimum,conda-forge/optimum,,,,2593.0,2463.0,https://pypi.org/project/optimum,2024-05-09 11:10:12.000,130.0,1113262.0,1113837.0,https://anaconda.org/conda-forge/optimum,2024-05-09 14:07:35.313,14392.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+171,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-05-23 07:06:43.000000,2024-05-22 14:51:53,5182.0,106.0,515.0,19.0,1282.0,1034.0,644.0,2128.0,"This is the development home of the workflow management system Snakemake. For general information, see.",326.0,34,True,2024-05-17 05:21:07.000,8.11.6,337.0,snakemake,bioconda/snakemake,,,,2196.0,1976.0,https://pypi.org/project/snakemake,2024-05-17 05:21:07.000,220.0,57282.0,67508.0,https://anaconda.org/bioconda/snakemake,2024-05-03 18:24:01.575,1053326.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+172,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2024-05-23 10:11:59.000000,2024-05-22 05:11:40,4269.0,61.0,1070.0,153.0,1122.0,71.0,656.0,1777.0,Documentation and samples for ArcGIS API for Python.,91.0,34,True,2024-04-23 21:21:11.000,2.3.0,45.0,arcgis,,esridocker/arcgis-api-python-notebook,,,794.0,758.0,https://pypi.org/project/arcgis,2024-05-17 14:10:32.000,36.0,67023.0,67145.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,11314.0,,,,,,,,,,,,,,,,,,,
+173,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-05-14 18:16:15.000000,2024-05-14 15:08:32,1184.0,13.0,359.0,67.0,604.0,276.0,353.0,1454.0,A Jupyter - Leaflet.js bridge.,88.0,34,True,2024-05-14 08:14:02.000,0.19.1,83.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],9245.0,8983.0,https://pypi.org/project/ipyleaflet,2024-05-14 07:54:14.000,253.0,152342.0,186163.0,https://anaconda.org/conda-forge/ipyleaflet,2024-05-14 09:17:21.014,1145208.0,,,,,2.0,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-05-13 13:06:55.933,9.0,9963.0,,,,,,,,,,,
+174,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-03-26 18:33:29.000000,2024-02-11 16:39:29,1856.0,,200.0,32.0,212.0,26.0,399.0,1364.0,The ctypes-based simple ImageMagick binding for Python.,104.0,34,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,19142.0,18905.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,237.0,842521.0,844033.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,46258.0,,,,,2.0,46276.0,,,,,,,,,,,,,,,,,,,
+175,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-05-20 19:53:50.000000,2024-03-13 00:47:35,874.0,5.0,328.0,44.0,1028.0,168.0,169.0,1200.0,Making text a first-class citizen in TensorFlow.,113.0,34,True,2024-03-11 20:48:59.000,2.16.1,69.0,tensorflow-text,,,,['tensorflow'],7034.0,6831.0,https://pypi.org/project/tensorflow-text,2024-03-11 17:56:47.000,203.0,7642662.0,7642662.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+176,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-05-13 19:31:12.000000,2024-04-20 13:16:16,1546.0,8.0,212.0,35.0,687.0,31.0,572.0,999.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,65.0,34,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,31616.0,30092.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,1524.0,8704009.0,8869715.0,https://anaconda.org/conda-forge/pyproj,2024-05-01 02:52:24.565,7622512.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+177,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-02-18 05:01:17.000000,2021-11-17 17:52:52,3466.0,,3875.0,661.0,1674.0,143.0,1985.0,24458.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,33,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],443.0,419.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,24.0,5030.0,21874.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2707.0,,,,,2.0,1140020.0,,,,,,,,,,,,,,,,,,,
+178,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-05-23 15:03:17.000000,2024-05-23 03:59:50,4506.0,879.0,2658.0,266.0,4005.0,93.0,521.0,24277.0,You like pytorch? You like micrograd? You love tinygrad!.,307.0,33,True,2024-01-09 18:16:07.000,0.8.0,5.0,,,,,['pytorch'],64.0,64.0,,,,,,,,,,,,,1.0,,1.0,,tinygrad/tinygrad,,,,,,,,,,,,,,,,
+179,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-05-20 14:56:42.000000,2023-07-11 13:03:36,1421.0,,3728.0,755.0,1136.0,410.0,588.0,18960.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],512.0,507.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,4207.0,4207.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+180,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-05-10 14:44:06.000000,2023-10-26 05:31:53,3012.0,,1800.0,284.0,3506.0,385.0,1682.0,13809.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,33,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,684.0,646.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,38.0,16511.0,16511.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+181,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-05-23 07:14:18.000000,2024-05-21 08:39:30,3812.0,35.0,901.0,136.0,174.0,107.0,1008.0,12270.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",96.0,33,True,2024-05-21 09:05:36.000,16.3.1,238.0,ocrmypdf,conda-forge/ocrmypdf,,,,848.0,824.0,https://pypi.org/project/ocrmypdf,2024-05-21 09:05:36.000,24.0,98175.0,100240.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,65774.0,,,,,2.0,3417.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,
+182,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2024-05-07 09:56:24.000000,2021-07-29 23:17:25,531.0,,1785.0,264.0,116.0,111.0,535.0,11334.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,5799.0,5615.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,184.0,353878.0,356206.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,207242.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+183,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2024-05-15 17:55:00.000000,2024-02-23 19:03:07,2440.0,,1539.0,287.0,432.0,284.0,638.0,9532.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,121.0,33,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,,['sklearn'],2799.0,2762.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,37.0,42828.0,48197.0,https://anaconda.org/conda-forge/tpot,2024-02-26 15:57:08.680,252379.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+184,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,877.0,259.0,148.0,107.0,104.0,9134.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,25327.0,24395.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,932.0,6812800.0,6818480.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,533924.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+185,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-03-20 22:02:13.000000,2024-03-20 22:02:12,1391.0,4.0,1399.0,302.0,894.0,137.0,759.0,9084.0,AutoML library for deep learning.,143.0,33,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,,['tensorflow'],688.0,675.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,19306.0,19538.0,,,,,,,,1.0,18144.0,,,,,,,,,,,,,,,,,,,
+186,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2024-05-22 00:18:00.000000,2024-03-16 17:36:36,1731.0,4.0,1318.0,148.0,228.0,207.0,146.0,8015.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,50.0,33,True,2024-02-09 06:52:05.000,1.1.3,91.0,pyod,conda-forge/pyod,,,,3826.0,3720.0,https://pypi.org/project/pyod,2024-02-09 06:50:32.000,106.0,709995.0,712053.0,https://anaconda.org/conda-forge/pyod,2024-02-09 07:53:55.073,98788.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+187,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-05-23 14:55:29.000000,2024-05-23 13:59:55,38785.0,414.0,838.0,146.0,9652.0,1095.0,5275.0,7453.0,cuDF - GPU DataFrame Library.,285.0,33,True,2024-05-01 12:29:36.000,24.04.01,49.0,cudf,,,,,72.0,55.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,17.0,3250.0,3250.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+188,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-05-23 01:30:29.000000,2024-05-16 18:33:34,1201.0,58.0,805.0,61.0,966.0,265.0,1171.0,7387.0,A python library for user-friendly forecasting and anomaly detection on time series.,115.0,33,True,2024-04-17 11:54:28.000,0.29.0,42.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,623.0,617.0,https://pypi.org/project/u8darts,2024-04-17 11:54:28.000,6.0,21109.0,22422.0,https://anaconda.org/conda-forge/u8darts-all,2024-04-18 00:03:59.716,44398.0,https://hub.docker.com/r/unit8/darts,2024-04-17 11:31:17.149896,,580.0,2.0,,,,,,,,,,,,,,,,,,,,
+189,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-05-23 09:06:09.000000,2024-05-22 19:56:20,2216.0,108.0,851.0,98.0,2476.0,343.0,974.0,7246.0,Fast and Accurate ML in 3 Lines of Code.,122.0,33,True,2024-05-02 19:07:34.000,0.8.3,1491.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",722.0,699.0,https://pypi.org/project/autogluon,2024-05-23 09:06:09.000,23.0,74515.0,74648.0,,,,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,17.0,7715.0,1.0,,,,,,,,,,,,,,,,,,,,
+190,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-05-17 14:26:43.000000,2024-04-25 01:14:03,1793.0,25.0,765.0,128.0,277.0,455.0,335.0,6987.0,Uniform Manifold Approximation and Projection.,130.0,33,True,2024-04-03 16:53:16.000,0.5.6,40.0,umap-learn,conda-forge/umap-learn,,,,834.0,1.0,https://pypi.org/project/umap-learn,2024-04-03 16:53:16.000,833.0,1338883.0,1390381.0,https://anaconda.org/conda-forge/umap-learn,2024-02-04 15:29:26.812,2420431.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+191,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/ipex-llm,https://github.com/intel-analytics/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2024-05-23 10:25:21.000000,2024-05-23 09:37:37,2840.0,600.0,1209.0,242.0,8821.0,816.0,1473.0,6091.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel..",99.0,33,True,2023-11-13 02:02:20.000,2.4.0,869.0,bigdl,,,,,58.0,51.0,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,2421.0,2426.0,,,,,,,,2.0,484.0,,,intel-analytics/ipex-llm,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,5.0,,,
+192,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-05-22 20:27:36.000000,2024-05-22 20:27:20,3138.0,152.0,717.0,143.0,106.0,101.0,332.0,6057.0,Fit interpretable models. Explain blackbox machine learning.,44.0,33,True,2024-04-14 22:32:49.000,0.6.1,49.0,interpret,,,,['jupyter'],724.0,679.0,https://pypi.org/project/interpret,2024-04-14 04:27:31.000,45.0,79679.0,79679.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+193,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1366.0,288.0,6588.0,13.0,2030.0,5868.0,A flexible framework of neural networks for deep learning.,324.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3298.0,3240.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,19675.0,20016.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,17403.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+194,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2024-05-23 13:28:41.000000,2024-05-18 17:30:37,29879.0,261.0,1564.0,182.0,2106.0,35.0,1592.0,4852.0,"mlpack: a fast, header-only C++ machine learning library.",316.0,33,True,2023-12-12 00:54:05.000,4.3.0,46.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2024-04-10 13:40:15.000,1.0,2947.0,6830.0,https://anaconda.org/conda-forge/mlpack,2023-11-29 00:35:31.566,182540.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+195,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-05-07 17:56:16.000000,2024-05-07 17:47:54,1090.0,34.0,465.0,245.0,763.0,213.0,333.0,4623.0,Model interpretability and understanding for PyTorch.,111.0,33,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],2185.0,2072.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,113.0,225123.0,225994.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,25278.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+196,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-05-20 02:14:43.000000,2023-12-03 03:47:34,490.0,,591.0,65.0,218.0,213.0,158.0,4054.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,33,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,6618.0,6496.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,122.0,915097.0,919008.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,160374.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+197,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-05-16 16:15:58.000000,2024-05-16 16:15:57,1295.0,2.0,2511.0,1967.0,534.0,386.0,1075.0,3969.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,33,True,2024-02-06 19:36:25.000,1.55.0,103.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2024-04-29 18:34:04.000,48.0,583813.0,583821.0,,,,,,,,2.0,577.0,,,,,,,,,,,,,,,,,,,
+198,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-05-23 14:38:50.000000,2024-05-23 13:02:26,3007.0,143.0,313.0,25.0,2784.0,148.0,1764.0,3152.0,"Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data..",88.0,33,True,2024-05-09 15:13:09.000,1.28.0,100.0,rubrix,conda-forge/rubrix,,,,2482.0,2482.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,714.0,1772.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,30682.0,,,,,2.0,,,,argilla-io/argilla,,,,,,,,,,,,,,,,
+199,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2024-05-21 14:47:05.000000,2024-05-21 14:46:52,3713.0,28.0,190.0,50.0,1367.0,132.0,722.0,1969.0,Ahead of Time compiler for numeric kernels.,72.0,33,True,2024-05-20 19:27:51.000,0.16.0,60.0,pythran,conda-forge/pythran,,,,2204.0,2185.0,https://pypi.org/project/pythran,2024-05-20 19:27:51.000,19.0,228971.0,240122.0,https://anaconda.org/conda-forge/pythran,2024-05-21 00:59:04.558,490684.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran,
+200,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2024-05-11 11:34:04.000000,2024-04-15 22:25:34,1519.0,1.0,606.0,57.0,1882.0,88.0,898.0,1679.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,33,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],14918.0,14693.0,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,225.0,1023510.0,1023510.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+201,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2024-04-20 16:14:16.000000,2018-10-12 15:53:05,1251.0,,282.0,51.0,158.0,104.0,218.0,1596.0,Python Geocoder.,73.0,33,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,10212.0,10027.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,185.0,613657.0,615290.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,142098.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,geocoder
+202,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2024-05-02 22:47:28.000000,2024-05-02 22:47:23,830.0,5.0,320.0,119.0,783.0,217.0,167.0,1473.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",85.0,33,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,,['tensorflow'],3840.0,3797.0,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,43.0,777501.0,777501.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+203,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-05-21 12:00:02.000000,2024-05-19 16:09:04,2833.0,28.0,247.0,34.0,215.0,44.0,504.0,1242.0,Python interface for igraph.,75.0,33,False,2024-05-07 17:50:45.000,0.11.5,41.0,python-igraph,conda-forge/igraph,,,,4319.0,3946.0,https://pypi.org/project/python-igraph,2024-05-07 17:50:45.000,373.0,228474.0,246633.0,https://anaconda.org/conda-forge/igraph,2024-05-07 18:54:37.635,532654.0,,,,,1.0,562823.0,,,,,,,,,,,,,,,,,,,
+204,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-05-21 14:39:57.000000,2024-05-20 17:11:41,3332.0,52.0,236.0,48.0,389.0,73.0,269.0,1033.0,"OpenCL integration for Python, plus shiny features.",96.0,33,True,2024-05-09 02:37:50.000,2024.2.2,98.0,pyopencl,conda-forge/pyopencl,,,,2063.0,1899.0,https://pypi.org/project/pyopencl,2024-05-09 02:37:50.000,164.0,54441.0,76525.0,https://anaconda.org/conda-forge/pyopencl,2024-05-09 12:35:04.365,1037955.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+205,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-05-22 21:34:35.000000,2024-05-20 12:56:50,14061.0,325.0,419.0,52.0,2128.0,151.0,781.0,677.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",161.0,33,False,2024-03-08 22:14:36.000,1.9.0,28.0,dipy,conda-forge/dipy,,,,1219.0,1102.0,https://pypi.org/project/dipy,2024-03-08 22:14:36.000,117.0,27382.0,37519.0,https://anaconda.org/conda-forge/dipy,2024-03-10 04:37:57.447,446045.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+206,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-02-24 12:51:59.000000,2022-06-10 09:12:18,238.0,,13289.0,1566.0,227.0,767.0,585.0,52008.0,The worlds simplest facial recognition api for Python and the command line.,54.0,32,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],129.0,21.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,108.0,195741.0,196227.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,20791.0,,,,,2.0,1230.0,,,,,,,,,,,,,,,,,,,
+207,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-05-23 14:05:48.000000,2024-05-10 07:11:27,2698.0,517.0,1212.0,118.0,2990.0,230.0,908.0,18260.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",104.0,32,True,2024-05-10 08:04:53.000,1.9.2,70.0,,,,,,114.0,114.0,,,,,988.0,,,,,,,,2.0,36587.0,,,,,,,,,,,,,,,,,,,
+208,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2024-02-13 08:02:51.000000,2020-10-14 16:36:49,6226.0,,4630.0,1004.0,1869.0,362.0,658.0,17126.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1001.0,991.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,2797.0,2973.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7751.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+209,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3425.0,464.0,671.0,590.0,672.0,14981.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,False,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1495.0,1481.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,6386.0,6386.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+210,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1159.0,338.0,1683.0,523.0,1294.0,11159.0,Turi Create simplifies the development of custom machine learning models.,86.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,376.0,371.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,5.0,17402.0,17530.0,,,,,,,,3.0,9879.0,,,,,,,,,,,,,,,,,,,
+211,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-04-08 20:21:16.000000,2024-04-08 20:21:10,864.0,2.0,1282.0,420.0,87.0,32.0,161.0,9697.0,TensorFlow-based neural network library.,59.0,32,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1307.0,1289.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,18.0,29388.0,29916.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,28528.0,,,,,3.0,,,,google-deepmind/sonnet,,,,,,,,,,,,,,,,
+212,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2024-05-06 11:34:20.000000,2020-11-30 04:34:51,613.0,,2414.0,457.0,261.0,576.0,363.0,9611.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,32,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],4912.0,4900.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,12.0,6637.0,6637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+213,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-05-23 12:02:08.000000,2024-05-23 02:34:29,1621.0,68.0,669.0,85.0,741.0,120.0,251.0,8855.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",48.0,32,False,2024-05-07 18:34:46.000,2.6.4,29.0,cleanlab,conda-forge/cleanlab,,,,327.0,311.0,https://pypi.org/project/cleanlab,2024-05-07 18:34:46.000,16.0,31696.0,32303.0,https://anaconda.org/conda-forge/cleanlab,2024-05-08 16:12:11.004,22479.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+214,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-05-14 22:35:18.000000,2024-05-13 23:40:34,1154.0,13.0,1254.0,148.0,168.0,265.0,1260.0,8379.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,142.0,32,False,2024-02-22 18:30:39.000,0.7.6,17.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],825.0,811.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,6613.0,10555.0,https://anaconda.org/pytorch3d/pytorch3d,2023-10-31 20:03:11.190,212891.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+215,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-05-23 06:13:32.000000,2024-05-20 11:03:18,2900.0,5.0,1644.0,88.0,1648.0,214.0,1843.0,8312.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",119.0,32,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,,['paddle'],1206.0,1199.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,2345.0,2345.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+216,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-11-12 14:28:03.000000,2023-11-12 14:28:03,528.0,,870.0,86.0,274.0,78.0,376.0,7811.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,32,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,44388.0,43791.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,597.0,2196384.0,2221753.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1166758.0,,,,,2.0,421.0,,,,,,,,,,,,,,,,,,,
+217,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-04-23 12:27:20.000000,2024-03-06 05:23:22,360.0,3.0,1504.0,134.0,135.0,15.0,325.0,7552.0,A Python implementation of global optimization with gaussian processes.,44.0,32,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2758.0,2627.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,131.0,546258.0,546259.0,,,,,,,,2.0,147.0,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,,
+218,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-04-29 22:31:53.000000,2024-03-13 19:58:20,1220.0,2.0,1042.0,124.0,275.0,205.0,445.0,7099.0,Distributed Asynchronous Hyperparameter Optimization in Python.,103.0,32,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,15334.0,14912.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,422.0,2405795.0,2417009.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,762603.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+219,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-05-21 10:43:16.000000,2024-03-13 09:36:57,2708.0,3.0,1130.0,209.0,1049.0,22.0,615.0,6559.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,32,True,2024-03-13 10:57:14.000,1.6.0,63.0,deeppavlov,,,,['tensorflow'],394.0,390.0,https://pypi.org/project/deeppavlov,2024-03-13 10:57:14.000,4.0,10580.0,10580.0,,,,,,,,2.0,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,,
+220,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,,1816.0,197.0,206.0,13.0,1343.0,6298.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,True,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1563.0,1545.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,13666.0,14009.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10585.0,,,,,3.0,168.0,,,,,,,,,,,,,,,,,,,
+221,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-05-21 08:03:20.000000,2024-05-17 14:47:16,175.0,21.0,1048.0,199.0,118.0,151.0,308.0,5954.0,Official Kaggle API.,42.0,32,True,2024-05-17 17:24:39.000,1.6.14,72.0,kaggle,conda-forge/kaggle,,,,206.0,21.0,https://pypi.org/project/kaggle,2024-05-17 17:24:39.000,185.0,208443.0,211926.0,https://anaconda.org/conda-forge/kaggle,2024-05-17 23:52:36.218,153280.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+222,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2024-04-01 08:16:02.000000,2024-04-01 08:13:40,1215.0,6.0,651.0,63.0,133.0,59.0,437.0,5810.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",41.0,32,True,2024-04-01 08:16:02.000,2.5.0,210.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],1540.0,1507.0,https://pypi.org/project/pytorch-metric-learning,2024-04-01 08:03:08.000,33.0,403247.0,403467.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,11459.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+223,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-05-18 12:01:53.615000,2024-05-07 13:49:33,2334.0,2.0,1105.0,189.0,235.0,273.0,281.0,5590.0,Distributed Evolutionary Algorithms in Python.,88.0,32,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,5012.0,4781.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,231.0,214785.0,223605.0,https://anaconda.org/conda-forge/deap,2024-05-18 12:01:53.615,379282.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+224,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-05-22 20:07:47.000000,2024-04-17 17:08:08,2178.0,26.0,286.0,43.0,2142.0,345.0,654.0,4851.0,Aim An easy-to-use & supercharged open-source experiment tracker.,64.0,32,True,2024-04-17 17:16:40.000,3.19.3,1006.0,aim,conda-forge/aim,,,,594.0,560.0,https://pypi.org/project/aim,2024-05-22 20:07:47.000,34.0,80239.0,81633.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,47408.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+225,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-05-03 19:17:17.000000,2023-11-23 21:41:49,1136.0,,632.0,89.0,270.0,40.0,252.0,4316.0,Geocoding library for Python.,133.0,32,True,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,786.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,786.0,5196208.0,5224377.0,https://anaconda.org/conda-forge/geopy,2024-02-28 17:12:19.096,1323976.0,,,,,3.0,47.0,,,,,,,,,,,,,,,,,,,
+226,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2024-05-21 07:56:58.000000,2024-03-15 22:39:59,618.0,4.0,118.0,75.0,71.0,19.0,124.0,3724.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,32,True,2024-03-15 22:38:56.000,6.2.0,50.0,ftfy,conda-forge/ftfy,,,,20049.0,19555.0,https://pypi.org/project/ftfy,2024-03-15 22:38:56.000,494.0,4914014.0,4921185.0,https://anaconda.org/conda-forge/ftfy,2023-11-22 19:57:21.457,286855.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+227,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-05-20 18:12:28.000000,2024-05-03 16:54:19,704.0,4.0,258.0,43.0,825.0,99.0,285.0,2943.0,PyTorch extensions for high performance and large scale training.,75.0,32,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],5178.0,5112.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,66.0,521017.0,527703.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,200599.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+228,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2024-03-15 06:37:00.287000,2021-10-12 13:32:38,1570.0,,545.0,64.0,546.0,322.0,393.0,2725.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,False,2024-03-14 18:24:11.000,0.10.1,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,337.0,,https://pypi.org/project/scikit-optimize,2024-03-14 18:24:11.000,337.0,797986.0,813969.0,https://anaconda.org/conda-forge/scikit-optimize,2024-03-15 06:37:00.287,719279.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+229,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-05-21 04:42:08.000000,2024-05-21 04:42:08,2951.0,20.0,691.0,74.0,865.0,274.0,630.0,2628.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",127.0,32,True,2024-03-08 20:41:28.000,0.1.25,25.0,pgmpy,,,,,1015.0,972.0,https://pypi.org/project/pgmpy,2024-03-08 20:00:14.000,43.0,53817.0,53824.0,,,,,,,,2.0,344.0,,,,,,,,,,,,,,,,,,,
+230,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-03-07 12:10:22.000000,2024-03-07 12:10:22,2293.0,1.0,584.0,69.0,481.0,247.0,705.0,2295.0,Survival analysis in Python.,117.0,32,True,2024-01-03 22:01:02.000,0.28.0,170.0,lifelines,conda-forge/lifelines,,,,2620.0,2493.0,https://pypi.org/project/lifelines,2024-01-03 22:01:02.000,127.0,512246.0,519153.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,331568.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+231,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-04-04 16:01:23.000000,2024-03-18 20:30:45,1372.0,19.0,320.0,22.0,47.0,35.0,202.0,2243.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,32,True,2024-03-18 21:02:33.000,0.4.7,91.0,explainerdashboard,conda-forge/explainerdashboard,,,,491.0,481.0,https://pypi.org/project/explainerdashboard,2024-03-18 21:02:33.000,10.0,78965.0,80069.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-18 22:16:35.129,45286.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+232,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-05-23 07:15:44.000000,2024-05-21 18:45:56,5643.0,95.0,692.0,88.0,5911.0,228.0,856.0,2080.0,TFX is an end-to-end platform for deploying production ML pipelines.,185.0,32,True,2024-05-13 23:20:24.000,1.15.1,98.0,tfx,,,,['tensorflow'],17.0,,https://pypi.org/project/tfx,2024-05-13 23:20:24.000,17.0,73211.0,73211.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+233,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-03-28 16:57:11.000000,2024-03-28 16:57:04,547.0,4.0,155.0,42.0,77.0,6.0,127.0,1998.0,a python library for doing approximate and phonetic matching of strings.,31.0,32,True,2023-11-17 20:44:09.000,1.0.3,42.0,jellyfish,conda-forge/jellyfish,,,,9204.0,8965.0,https://pypi.org/project/jellyfish,2023-11-17 20:44:09.000,239.0,3732043.0,3750300.0,https://anaconda.org/conda-forge/jellyfish,2023-11-17 23:08:09.681,858111.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+234,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2024-04-27 15:12:40.000000,2024-04-27 13:25:47,209.0,16.0,253.0,56.0,76.0,50.0,227.0,1945.0,A Python wrapper for the tesseract-ocr API.,30.0,32,True,2024-04-27 15:12:40.000,2.7.0,21.0,tesserocr,conda-forge/tesserocr,,,,1020.0,986.0,https://pypi.org/project/tesserocr,2024-04-27 15:12:40.000,34.0,68339.0,70887.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,140065.0,,,,,2.0,248.0,,,,,,,,,,,,,,,,,,,
+235,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-05-09 19:34:13.000000,2024-04-30 09:39:08,943.0,5.0,224.0,49.0,323.0,181.0,132.0,1844.0,Evaluate: A library for easily evaluating machine learning models and datasets.,126.0,32,True,2024-04-30 09:45:36.000,0.4.2,15.0,evaluate,,,,,9588.0,9253.0,https://pypi.org/project/evaluate,2024-04-30 09:44:17.000,335.0,2965925.0,2965925.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+236,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-04-19 13:09:14.696000,2024-02-23 02:45:37,1079.0,,227.0,34.0,251.0,57.0,272.0,1534.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,32,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,8293.0,8155.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,138.0,2535649.0,2560521.0,https://anaconda.org/conda-forge/pmdarima,2024-04-19 13:09:14.696,1069504.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+237,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-04-30 20:12:22.000000,2024-04-30 20:12:21,936.0,11.0,210.0,58.0,101.0,44.0,174.0,982.0,Input pipeline framework.,28.0,32,True,2024-04-24 22:55:08.000,1.15.0,57.0,tensorflow-transform,,,,['tensorflow'],1834.0,1817.0,https://pypi.org/project/tensorflow-transform,2024-04-24 22:55:08.000,17.0,968816.0,968816.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+238,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-05-23 14:30:43.000000,2024-05-22 16:27:01,11492.0,120.0,235.0,55.0,12179.0,232.0,2187.0,943.0,Cloud-native genomic dataframes and batch computing.,92.0,32,True,2024-04-10 20:37:13.000,0.2.130,150.0,hail,,,,['spark'],160.0,130.0,https://pypi.org/project/hail,2024-04-10 20:37:13.000,30.0,35259.0,35259.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+239,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-05-20 19:50:12.000000,2024-04-24 04:18:42,1684.0,10.0,275.0,41.0,1365.0,288.0,363.0,690.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,32,True,2024-05-01 02:14:32.000,0.37.0,44.0,tensorflow-io,,,,['tensorflow'],60.0,,https://pypi.org/project/tensorflow-io,2024-05-01 02:12:48.000,60.0,3997287.0,3997287.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+240,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2024-05-23 01:33:00.000000,2024-05-20 07:29:51,168792.0,3899.0,89.0,51.0,2174.0,86.0,286.0,679.0,TensorFlow ROCm port.,4634.0,32,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,6.0,4637.0,4637.0,,,,,,,,3.0,21.0,,,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,,
+241,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-03-17 08:58:36.000000,2023-07-13 08:50:20,531.0,,2736.0,383.0,120.0,232.0,562.0,25055.0,Deezer source separation library including pretrained models.,19.0,31,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],723.0,717.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,13722.0,72456.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,82325.0,,,,,2.0,3146592.0,,,,,,,,,,,,,,,,,,,
+242,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-05-23 12:47:41.000000,2024-05-21 00:15:18,1969.0,12.0,2467.0,285.0,917.0,223.0,680.0,14306.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",126.0,31,True,2024-05-07 10:16:46.000,0.9.4,33.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2024-05-07 10:16:46.000,1.0,2632.0,2645.0,,,,,,,,1.0,581.0,,,,,,,,,,,,,,,,,,,
+243,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-10-18 03:42:44.000000,2023-03-28 11:49:55,2665.0,,2074.0,184.0,1005.0,574.0,724.0,12552.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,31,False,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1633.0,1626.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,7132.0,7142.0,,,,,,,,2.0,680.0,,,,,,,,,,,,,,,,,,,
+244,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-05-03 20:57:52.000000,2024-02-20 22:38:05,385.0,,2150.0,285.0,98.0,311.0,448.0,8437.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,31,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1626.0,1607.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,9337.0,22158.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,7138.0,,,,,2.0,924661.0,,,,,,,,,,,,,,,,,,,
+245,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2024-04-22 20:07:04.000000,2024-03-11 18:51:26,551.0,1.0,1197.0,168.0,431.0,67.0,470.0,8138.0,Automatic extraction of relevant features from time series:.,92.0,31,True,2024-01-28 09:46:21.000,0.20.2,31.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],96.0,21.0,https://pypi.org/project/tsfresh,2024-01-28 09:46:21.000,75.0,243492.0,271669.0,https://anaconda.org/conda-forge/tsfresh,2024-01-28 10:39:22.145,1352541.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+246,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-05-23 08:03:46.000000,2024-05-23 04:25:54,5985.0,60.0,1005.0,117.0,1647.0,104.0,652.0,7603.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",93.0,31,True,2024-05-23 08:03:19.000,2.10.1,121.0,perspective-python,conda-forge/perspective,,,['jupyter'],149.0,123.0,https://pypi.org/project/perspective-python,2024-05-23 07:42:47.000,22.0,4580.0,21609.0,https://anaconda.org/conda-forge/perspective,2024-03-26 20:17:11.439,614033.0,,,,,2.0,2699.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2024-03-25 22:45:31.297,4.0,3696.0,,,,,,,,,,,
+247,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1716.0,303.0,294.0,161.0,268.0,5451.0,Portfolio and risk analytics in Python.,60.0,31,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,1021.0,1009.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,12.0,8514.0,8689.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,13180.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+248,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-05-21 23:30:02.000000,2022-09-24 16:20:26,585.0,,927.0,100.0,225.0,108.0,455.0,4835.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,45.0,31,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3973.0,3874.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,99.0,107254.0,107918.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,20607.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+249,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-05-22 00:27:35.000000,2024-05-20 03:43:37,3875.0,25.0,526.0,85.0,566.0,110.0,477.0,4813.0,Online machine learning in Python.,114.0,31,True,2024-04-23 13:20:18.000,0.21.1,21.0,river,conda-forge/river,,,,539.0,488.0,https://pypi.org/project/river,2024-04-23 10:26:48.000,51.0,36492.0,38073.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,58522.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+250,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-05-20 03:37:07.000000,2024-05-09 21:11:54,613.0,20.0,743.0,83.0,342.0,54.0,331.0,4810.0,Uplift modeling and causal inference with machine learning algorithms.,62.0,31,True,2024-04-19 00:19:00.000,0.15.1,24.0,causalml,,,,,199.0,198.0,https://pypi.org/project/causalml,2024-04-19 00:19:00.000,1.0,65361.0,65361.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+251,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2024-05-07 13:10:17.000000,2024-04-30 18:31:30,796.0,11.0,383.0,75.0,288.0,58.0,516.0,4578.0,Visualizer for pandas data structures.,30.0,31,True,2024-04-30 18:56:18.000,3.12.0,182.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1151.0,1112.0,https://pypi.org/project/dtale,2024-04-30 18:56:18.000,39.0,60667.0,66569.0,https://anaconda.org/conda-forge/dtale,2024-04-30 19:55:43.333,283302.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+252,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2024-01-27 06:33:38.000000,2022-01-27 13:24:16,139.0,,1026.0,153.0,115.0,161.0,79.0,4489.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,43493.0,43078.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,415.0,646728.0,650328.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,165616.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+253,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-05-22 20:34:02.000000,2024-05-22 18:35:38,15436.0,69.0,505.0,69.0,3500.0,880.0,1584.0,3968.0,cuML - RAPIDS Machine Learning Library.,172.0,31,True,2024-04-10 20:54:06.000,24.04.00,38.0,cuml,,,,,13.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,13.0,2980.0,2980.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+254,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-05-15 19:48:26.000000,2024-04-22 03:28:24,3849.0,16.0,541.0,59.0,893.0,356.0,974.0,3434.0,A highly efficient implementation of Gaussian Processes in PyTorch.,130.0,31,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],2243.0,2090.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,153.0,217725.0,221017.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,158044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+255,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,,704.0,185.0,737.0,274.0,669.0,3410.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,274.0,256.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,308597.0,308771.0,,,,,,,,3.0,15855.0,,,,,,,,,,,,,,,,,,,
+256,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2024-03-19 06:24:29.000000,2022-05-31 03:18:45,1556.0,,438.0,94.0,124.0,86.0,348.0,3305.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,47.0,31,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1192.0,1132.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,60.0,229196.0,231841.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,113754.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+257,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2024-02-07 10:05:31.000000,2022-08-22 18:21:12,586.0,,606.0,78.0,78.0,72.0,161.0,3180.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,31,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,6069.0,5962.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,107.0,1855833.0,1858791.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,245584.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+258,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-05-23 12:38:06.000000,2024-05-23 12:37:11,1303.0,19.0,284.0,57.0,224.0,55.0,421.0,3035.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,37.0,31,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,774.0,751.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,23.0,232175.0,253046.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,980976.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+259,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2024-05-20 14:07:09.000000,2023-10-24 18:29:08,333.0,,324.0,66.0,76.0,15.0,123.0,3027.0,A Python Perceptual Image Hashing Module.,26.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,13227.0,13011.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,216.0,1744372.0,1748464.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,368307.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+260,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-05-22 19:32:05.771000,2024-04-05 20:34:01,476.0,7.0,736.0,119.0,125.0,65.0,370.0,2957.0,"Hidden Markov Models in Python, with scikit-learn like API.",48.0,31,True,2024-03-02 03:05:38.000,0.3.2,13.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2603.0,2525.0,https://pypi.org/project/hmmlearn,2024-03-02 03:05:38.000,78.0,194864.0,199961.0,https://anaconda.org/conda-forge/hmmlearn,2024-05-22 19:32:05.771,224279.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+261,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2024-04-01 18:35:40.000000,2024-03-04 19:25:47,1086.0,7.0,384.0,62.0,494.0,210.0,271.0,2837.0,A Hyperparameter Tuning Library for Keras.,61.0,31,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],3819.0,3714.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,105.0,268209.0,269167.0,https://anaconda.org/conda-forge/keras-tuner,2024-03-05 15:33:09.039,31645.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+262,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2024-05-22 09:28:20.000000,2024-05-22 09:27:50,979.0,9.0,226.0,39.0,536.0,71.0,175.0,2816.0,JAX-based neural network library.,81.0,31,True,2024-02-28 18:11:54.000,0.0.12,15.0,dm-haiku,conda-forge/dm-haiku,,,,2022.0,1866.0,https://pypi.org/project/dm-haiku,2024-02-28 18:11:54.000,156.0,226191.0,226622.0,https://anaconda.org/conda-forge/dm-haiku,2024-02-28 22:18:23.853,16825.0,,,,,3.0,,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,,
+263,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2024-04-23 19:51:43.000000,2024-03-20 01:04:29,1637.0,2.0,323.0,60.0,189.0,126.0,195.0,2808.0,The machine learning toolkit for time series analysis in Python.,43.0,31,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1337.0,1266.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,71.0,354327.0,382262.0,https://anaconda.org/conda-forge/tslearn,2024-02-04 18:41:01.911,1312957.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+264,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-05-23 14:28:19.000000,2024-05-22 09:39:01,1180.0,21.0,243.0,26.0,1025.0,101.0,423.0,2787.0,A python library for self-supervised learning on images.,40.0,31,True,2024-05-16 12:53:22.000,1.5.4,118.0,lightly,,,,['pytorch'],266.0,255.0,https://pypi.org/project/lightly,2024-05-16 12:54:13.000,11.0,30892.0,30892.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+265,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2024-05-22 21:00:42.000000,2024-05-22 21:00:42,1001.0,4.0,482.0,56.0,138.0,349.0,168.0,2691.0,A high performance implementation of HDBSCAN clustering.,89.0,31,True,2023-07-18 17:54:02.116,0.8.33,51.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],3786.0,3487.0,https://pypi.org/project/hdbscan,2023-11-20 19:06:35.000,299.0,620105.0,664722.0,https://anaconda.org/conda-forge/hdbscan,2024-04-18 14:14:17.442,1918540.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+266,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-05-23 13:46:44.000000,2024-05-23 01:37:16,1146.0,44.0,292.0,34.0,476.0,99.0,371.0,2545.0,Scalable and user friendly neural forecasting algorithms.,44.0,31,True,2024-05-07 16:36:59.000,1.7.2,23.0,neuralforecast,conda-forge/neuralforecast,,,,164.0,148.0,https://pypi.org/project/neuralforecast,2024-05-07 16:36:59.000,16.0,38842.0,39431.0,https://anaconda.org/conda-forge/neuralforecast,2024-05-08 05:29:53.055,15332.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+267,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2024-04-09 11:39:30.000000,2024-04-09 11:39:30,957.0,4.0,394.0,39.0,150.0,45.0,242.0,2373.0,A library of sklearn compatible categorical variable encoders.,70.0,31,True,2023-10-29 20:29:52.000,2.6.3,32.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],2011.0,1769.0,https://pypi.org/project/category_encoders,2023-10-29 20:29:52.000,242.0,1669693.0,1678018.0,https://anaconda.org/conda-forge/category_encoders,2023-10-30 01:23:52.252,258089.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+268,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-01-11 18:01:50.000000,2023-12-23 13:05:00,887.0,,356.0,83.0,167.0,216.0,146.0,2327.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,52.0,31,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,6142.0,6002.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,131.0,490361.0,495382.0,https://anaconda.org/conda-forge/mpld3,2023-12-23 15:16:22.285,198215.0,,,,,2.0,,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,804.0,,,,,,,,,,,
+269,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-05-23 15:01:00.000000,2024-05-22 22:43:29,4084.0,232.0,46.0,165.0,531.0,139.0,420.0,1464.0,Multiplatform plotting library based on the Grammar of Graphics.,20.0,31,True,2024-04-25 16:12:39.000,4.3.2,74.0,lets-plot,,,,,85.0,77.0,https://pypi.org/project/lets-plot,2024-04-25 15:31:02.000,8.0,22354.0,22366.0,,,,,,,,2.0,679.0,,,,,,,,,,,,,,,,,,,
+270,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-05-02 00:41:56.000000,2024-05-02 00:41:53,947.0,8.0,430.0,87.0,229.0,55.0,241.0,1430.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,74.0,31,True,2024-04-19 10:03:17.000,3.1.6,27.0,emcee,conda-forge/emcee,,,,2776.0,2388.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,388.0,155250.0,164795.0,https://anaconda.org/conda-forge/emcee,2024-04-22 14:43:59.507,334105.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+271,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-05-22 10:31:58.000000,2024-05-19 03:26:04,1555.0,21.0,166.0,16.0,806.0,116.0,445.0,1294.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,108.0,31,True,2024-03-21 03:35:03.000,0.27.0,60.0,pyjanitor,conda-forge/pyjanitor,,,,642.0,614.0,https://pypi.org/project/pyjanitor,2024-03-21 03:34:57.000,28.0,76388.0,80446.0,https://anaconda.org/conda-forge/pyjanitor,2024-03-21 06:08:00.698,194797.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+272,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-05-22 21:11:36.000000,2024-05-17 11:02:01,1129.0,9.0,245.0,45.0,521.0,37.0,183.0,1262.0,ARCH models in Python.,35.0,31,False,2024-04-16 17:35:41.000,7.0.0,47.0,arch,conda-forge/arch-py,,,,1735.0,1644.0,https://pypi.org/project/arch,2024-04-16 17:35:41.000,91.0,485516.0,491949.0,https://anaconda.org/conda-forge/arch-py,2024-05-17 19:52:40.969,302367.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+273,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-05-23 09:39:19.000000,2024-05-20 10:07:03,13424.0,164.0,279.0,34.0,1789.0,463.0,632.0,1020.0,Python package for earth-observing satellite data processing.,153.0,31,False,2024-04-22 16:20:44.000,0.48.0,93.0,satpy,conda-forge/satpy,,,,152.0,127.0,https://pypi.org/project/satpy,2024-02-21 11:29:00.000,25.0,7723.0,11840.0,https://anaconda.org/conda-forge/satpy,2024-04-23 06:53:48.899,193519.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+274,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-05-08 14:11:18.000000,2024-05-06 11:56:52,685.0,29.0,99.0,24.0,537.0,337.0,420.0,966.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",46.0,31,True,2024-05-07 03:58:11.000,0.10.0,70.0,hvplot,conda-forge/hvplot,,,,5226.0,5054.0,https://pypi.org/project/hvplot,2024-05-06 12:24:45.000,172.0,228991.0,241179.0,https://anaconda.org/conda-forge/hvplot,2024-05-07 04:39:01.018,572851.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+275,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2024-01-05 15:46:09.327000,2024-01-04 18:54:38,558.0,,102.0,32.0,60.0,71.0,80.0,924.0,Describing statistical models in Python using symbolic formulas.,19.0,31,True,2024-01-04 18:58:03.000,0.5.6,13.0,patsy,conda-forge/patsy,,,,96607.0,96125.0,https://pypi.org/project/patsy,2024-01-04 18:55:57.000,482.0,15267841.0,15596151.0,https://anaconda.org/conda-forge/patsy,2024-01-05 15:46:09.327,10505950.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+276,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2024-04-22 23:18:58.000000,2024-04-22 23:18:58,1950.0,30.0,230.0,18.0,296.0,50.0,268.0,836.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",46.0,31,True,2024-04-22 16:08:04.000,1.5.0,48.0,salib,conda-forge/salib,,,,1224.0,1108.0,https://pypi.org/project/salib,2024-04-22 16:08:04.000,116.0,184570.0,188200.0,https://anaconda.org/conda-forge/salib,2024-04-22 19:44:20.663,156096.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+277,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2024-05-23 12:45:58.000000,2024-05-21 10:21:49,2059.0,132.0,58.0,18.0,1557.0,23.0,211.0,541.0,The MLOps stack component for experiment tracking.,54.0,31,True,2024-05-15 10:02:27.000,1.10.4,207.0,neptune-client,conda-forge/neptune-client,,,,558.0,481.0,https://pypi.org/project/neptune-client,2024-05-15 10:02:27.000,77.0,527728.0,532764.0,https://anaconda.org/conda-forge/neptune-client,2024-05-15 11:17:51.713,241737.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+278,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-05-22 03:52:53.000000,2024-05-20 18:26:47,17133.0,37.0,111.0,27.0,3580.0,521.0,3389.0,492.0,"Keep code, data, containers under control with git and git-annex.",55.0,31,True,2024-04-19 23:11:19.000,1.0.2,114.0,datalad,conda-forge/datalad,,,,490.0,398.0,https://pypi.org/project/datalad,2024-04-19 23:11:19.000,92.0,19309.0,29123.0,https://anaconda.org/conda-forge/datalad,2024-04-20 02:44:01.193,461302.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+279,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2024-05-11 15:05:28.000000,2024-05-11 15:04:32,307.0,5.0,2793.0,145.0,46.0,120.0,137.0,18310.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",21.0,30,True,2024-05-11 15:05:28.000,1.6.9,189.0,vit-pytorch,,,,['pytorch'],477.0,466.0,https://pypi.org/project/vit-pytorch,2024-05-11 15:05:28.000,11.0,22300.0,22300.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+280,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4300.0,1252.0,557.0,840.0,2543.0,17478.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",275.0,30,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,21.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,19.0,435.0,580.0,,,,,,,,3.0,14547.0,,,,,,,,,,,,,,,,,,,
+281,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2095.0,283.0,3401.0,51.0,1494.0,10434.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,217.0,30,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],26.0,21.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,3109.0,3109.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+282,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-05-21 19:54:54.000000,2024-05-13 09:26:23,2930.0,40.0,2217.0,198.0,446.0,220.0,474.0,9208.0,FinRL: Financial Reinforcement Learning.,113.0,30,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,39.0,39.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1289.0,1289.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+283,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-12-25 14:05:19.000000,2023-04-18 11:08:13,2759.0,,1267.0,215.0,711.0,187.0,829.0,7430.0,Automated Machine Learning with scikit-learn.,88.0,30,False,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],601.0,569.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,32.0,16593.0,17192.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,22182.0,,,,,2.0,52.0,,,,,,,,,,,,,,,,,,,
+284,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-05-22 19:51:29.000000,2024-05-22 18:28:12,1010.0,21.0,904.0,136.0,699.0,129.0,318.0,6812.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,89.0,30,True,2023-12-25 07:11:09.000,0.11.1,15.0,dowhy,conda-forge/dowhy,,,,374.0,367.0,https://pypi.org/project/dowhy,2023-12-25 07:11:09.000,7.0,49299.0,49792.0,https://anaconda.org/conda-forge/dowhy,2024-01-26 10:57:10.385,20720.0,,,,,2.0,35.0,,,,,,,,,,,,,,,,,,,
+285,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-04-10 13:26:10.000000,2023-01-31 19:40:04,3203.0,,1383.0,189.0,785.0,44.0,423.0,6092.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,30,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],660.0,653.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,1942.0,2109.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7860.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+286,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-04-19 02:47:07.000000,2023-01-19 00:37:33,900.0,,1236.0,153.0,951.0,63.0,788.0,5759.0,Gluon CV Toolkit.,119.0,30,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],76.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,55.0,66620.0,66620.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+287,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-05-08 23:39:09.000000,2024-05-08 23:39:06,618.0,8.0,696.0,108.0,190.0,12.0,344.0,5570.0,Python-tesseract is an optical character recognition (OCR) tool for python.,49.0,30,True,2023-10-15 15:39:44.000,0.3.13,27.0,pytesseract,conda-forge/pytesseract,,,,844.0,,https://pypi.org/project/pytesseract,2022-08-16 19:20:38.334,844.0,2094131.0,2107297.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,605668.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+288,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-05-21 16:05:57.000000,2024-05-21 15:50:17,1604.0,45.0,817.0,146.0,1515.0,351.0,399.0,4988.0,Simple and Distributed Machine Learning.,118.0,30,True,2024-04-11 00:33:42.000,1.0.4,48.0,synapseml,,,,,5.0,,https://pypi.org/project/synapseml,2024-04-11 00:33:42.000,5.0,235033.0,235033.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+289,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-05-23 09:00:21.000000,2024-05-21 14:26:58,1460.0,13.0,734.0,74.0,1794.0,313.0,629.0,4360.0,Probabilistic time series modeling in Python.,112.0,30,True,2024-02-02 12:38:04.000,0.14.4,108.0,gluonts,anaconda/gluonts,,,['mxnet'],27.0,,https://pypi.org/project/gluonts,2024-02-02 12:38:04.000,27.0,270841.0,270865.0,https://anaconda.org/anaconda/gluonts,2023-12-22 09:31:03.436,763.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+290,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-05-23 02:03:20.000000,2023-11-02 13:49:44,662.0,,844.0,150.0,129.0,133.0,104.0,4065.0,Technical Analysis Library using Pandas and Numpy.,34.0,30,True,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,3478.0,3389.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,89.0,120081.0,120743.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,25833.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+291,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-03-18 02:23:40.000000,2023-12-19 14:36:52,3303.0,,537.0,120.0,371.0,77.0,737.0,3990.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,30,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,344.0,326.0,https://pypi.org/project/dedupe,2023-02-17 16:58:05.493,18.0,68701.0,70405.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,49440.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+292,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-05-09 18:32:20.000000,2024-04-08 14:14:18,1091.0,3.0,346.0,58.0,1348.0,130.0,174.0,3861.0,A Python toolbox for performing gradient-free optimization.,55.0,30,True,2024-02-20 14:59:08.000,1.0.2,47.0,nevergrad,conda-forge/nevergrad,,,,725.0,679.0,https://pypi.org/project/nevergrad,2024-02-20 14:59:08.000,46.0,239995.0,241006.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,48555.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+293,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-05-21 05:38:23.000000,2024-03-15 01:19:18,1424.0,2.0,458.0,56.0,777.0,43.0,475.0,3672.0,NeuralProphet: A simple forecasting package.,53.0,30,True,2024-02-23 20:22:47.000,0.8.0,34.0,neuralprophet,,,,['pytorch'],447.0,442.0,https://pypi.org/project/neuralprophet,2024-02-23 20:22:47.000,5.0,155253.0,155253.0,,,,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,,
+294,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-05-22 09:08:18.000000,2024-05-20 08:31:13,502.0,18.0,540.0,40.0,526.0,12.0,,3647.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,44.0,30,True,2024-05-20 08:40:32.000,0.11.16,102.0,sahi,conda-forge/sahi,,,,1117.0,1092.0,https://pypi.org/project/sahi,2024-05-20 08:40:32.000,25.0,114990.0,117506.0,https://anaconda.org/conda-forge/sahi,2024-05-21 00:15:11.285,58375.0,,,,,2.0,24707.0,,,,,,,,,,,,,,,,,,,
+295,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-05-21 14:48:48.000000,2024-05-21 13:42:18,3660.0,4.0,462.0,101.0,1049.0,256.0,368.0,3574.0,Plotting library for IPython/Jupyter notebooks.,64.0,30,True,2024-02-27 15:38:38.000,0.12.43,112.0,bqplot,conda-forge/bqplot,,,['jupyter'],168.0,55.0,https://pypi.org/project/bqplot,2024-03-25 09:03:21.000,92.0,120286.0,150410.0,https://anaconda.org/conda-forge/bqplot,2024-02-19 16:46:43.025,1300491.0,,,,,3.0,,,,,bqplot,https://www.npmjs.com/package/bqplot,2024-03-25 09:04:27.051,21.0,3031.0,,,,,,,,,,,
+296,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2024-03-20 16:59:01.000000,2023-11-21 21:15:59,435.0,,604.0,77.0,228.0,85.0,406.0,3440.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,30,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1363.0,1335.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,28.0,184923.0,199212.0,https://anaconda.org/conda-forge/implicit,2023-11-21 19:59:55.425,627490.0,,,,,1.0,786.0,,,,,,,,,,,,,,,,,,,
+297,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2024-04-25 20:54:01.681000,2024-04-24 11:35:19,406.0,3.0,243.0,64.0,53.0,9.0,,3313.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",15.0,30,True,2024-04-24 11:36:32.000,4.6.2,28.0,textdistance,conda-forge/textdistance,,,,6448.0,6355.0,https://pypi.org/project/textdistance,2024-04-24 11:35:57.000,93.0,898419.0,911643.0,https://anaconda.org/conda-forge/textdistance,2024-04-25 20:54:01.681,554898.0,,,,,2.0,1000.0,,,,,,,,,,,,,,,,,,,
+298,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-05-06 21:21:33.000000,2024-03-11 00:59:40,984.0,4.0,573.0,97.0,336.0,45.0,718.0,3274.0,"Fast, flexible and easy to use probabilistic modelling in Python.",73.0,30,True,2024-03-11 01:00:49.000,1.0.4,74.0,pomegranate,conda-forge/pomegranate,,,,1149.0,1095.0,https://pypi.org/project/pomegranate,2024-03-11 01:00:49.000,54.0,37262.0,40392.0,https://anaconda.org/conda-forge/pomegranate,2023-12-10 17:04:41.093,150241.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+299,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-05-23 12:35:56.000000,2024-05-20 15:07:51,638.0,91.0,581.0,37.0,872.0,122.0,715.0,3236.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",79.0,30,True,2024-03-27 16:32:44.000,1.0.1,30.0,anomalib,,,,,70.0,67.0,https://pypi.org/project/anomalib,2024-03-27 16:33:12.000,3.0,19655.0,20000.0,,,,,,,,2.0,10011.0,,,,,,,,,,,,,,,,,,,
+300,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-05-23 07:28:58.000000,2024-05-22 20:30:06,7777.0,443.0,345.0,81.0,9034.0,121.0,338.0,2884.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",115.0,30,True,2024-05-10 17:47:38.000,0.32.1,535.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2024-05-22 16:33:06.000,4.0,44512.0,44690.0,,,,,,,,3.0,8013.0,,,,,,,,,,,,,,,,,,,
+301,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-03-31 00:50:11.000000,2024-03-31 00:50:11,2705.0,27.0,366.0,38.0,517.0,53.0,216.0,2780.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",65.0,30,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,257.0,251.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,6.0,3694.0,3863.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,7441.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+302,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-04-03 16:17:05.000000,2024-03-04 15:46:26,1711.0,12.0,421.0,45.0,365.0,22.0,349.0,2667.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,30,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,597.0,583.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,2565.0,2853.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,13251.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+303,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-05-23 09:12:42.000000,2024-05-06 15:17:55,1587.0,44.0,322.0,37.0,339.0,33.0,159.0,2650.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,38.0,30,True,2024-05-06 15:33:09.000,2.5.0,40.0,shapash,,,,['jupyter'],163.0,159.0,https://pypi.org/project/shapash,2024-05-06 15:33:09.000,4.0,7129.0,7129.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+304,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-05-06 22:09:13.000000,2024-04-05 11:33:33,2908.0,28.0,991.0,122.0,516.0,59.0,300.0,2556.0,IPython Parallel: Interactive Parallel Computing in Python.,113.0,30,False,2024-04-05 11:35:24.000,8.8.0,47.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],109.0,,https://pypi.org/project/ipyparallel,2024-04-05 11:35:24.000,109.0,515411.0,538935.0,https://anaconda.org/conda-forge/ipyparallel,2024-04-05 13:21:22.787,1011544.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+305,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-04-25 09:54:03.000000,2024-02-28 15:45:58,1631.0,78.0,250.0,66.0,63.0,33.0,186.0,2102.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,30,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,,['tensorflow'],50.0,49.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,1.0,1218.0,1218.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+306,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-05-23 10:06:57.000000,2024-04-30 19:42:51,1502.0,45.0,204.0,50.0,256.0,166.0,158.0,2073.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",42.0,30,True,2024-04-30 21:24:12.000,0.33.8,176.0,graphistry,,,,['jupyter'],120.0,114.0,https://pypi.org/project/graphistry,2024-04-30 21:24:12.000,6.0,4102.0,4102.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+307,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-05-23 11:53:57.000000,2024-05-23 11:53:56,896.0,37.0,126.0,21.0,380.0,118.0,238.0,1846.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,51.0,30,True,2024-04-14 13:04:28.000,0.11.4,48.0,equinox,,,,['jax'],684.0,558.0,https://pypi.org/project/equinox,2024-04-14 13:04:28.000,126.0,280938.0,280938.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+308,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2024-05-09 13:59:01.000000,2024-05-09 13:59:01,451.0,11.0,282.0,60.0,105.0,22.0,100.0,1806.0,ffn - a financial function library for Python.,33.0,30,True,2023-12-31 16:05:45.000,1.0.1,33.0,ffn,conda-forge/ffn,,,,473.0,457.0,https://pypi.org/project/ffn,2023-12-31 15:47:45.000,16.0,151193.0,151393.0,https://anaconda.org/conda-forge/ffn,2023-12-31 19:11:58.314,7402.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+309,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2024-04-29 20:57:51.000000,2024-04-29 20:57:51,290.0,5.0,359.0,51.0,78.0,78.0,113.0,1785.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,43.0,30,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],6160.0,6062.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,98.0,154995.0,156132.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,80781.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+310,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2024-05-17 01:07:41.000000,2024-02-16 16:14:36,365.0,,261.0,48.0,314.0,248.0,184.0,1763.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,30,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],326.0,325.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,473645.0,473645.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+311,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-05-08 21:10:35.000000,2024-05-08 21:10:35,1593.0,3.0,283.0,55.0,139.0,80.0,185.0,1762.0,"CUDA integration for Python, plus shiny features.",82.0,30,True,2024-01-03 16:54:41.000,2024.1,53.0,pycuda,conda-forge/pycuda,,,,2990.0,2859.0,https://pypi.org/project/pycuda,2024-01-03 16:54:26.000,131.0,47350.0,56005.0,https://anaconda.org/conda-forge/pycuda,2024-01-06 20:33:04.514,328898.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+312,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-05-23 06:44:42.000000,2024-04-29 07:26:04,1656.0,173.0,93.0,22.0,311.0,34.0,77.0,1761.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",36.0,30,True,2024-04-29 07:26:08.000,2.12.0,114.0,usearch,,unum/usearch,,,94.0,74.0,https://pypi.org/project/usearch,2024-04-29 08:22:26.000,6.0,59559.0,65955.0,,,,https://hub.docker.com/r/unum/usearch,2024-04-29 07:28:41.232497,1.0,75.0,3.0,1263.0,,,,usearch,https://www.npmjs.com/package/usearch,2024-04-10 02:44:41.570,14.0,6277.0,,,,,,,,,,,
+313,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-05-23 15:25:45.000000,2024-05-23 15:13:35,1805.0,262.0,358.0,28.0,1890.0,257.0,104.0,1741.0,Pytorch domain library for recommendation systems.,233.0,30,True,2024-04-25 01:39:04.000,0.7.0,77.0,torchrec-nightly-cpu,,,,,113.0,113.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,530.0,530.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+314,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-05-03 19:44:08.000000,2024-04-29 13:01:42,1192.0,70.0,179.0,19.0,159.0,49.0,135.0,1713.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,29.0,30,True,2024-03-15 11:44:36.000,0.35.0,38.0,audiomentations,,,,,500.0,487.0,https://pypi.org/project/audiomentations,2024-03-15 11:44:36.000,13.0,22165.0,22165.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+315,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-03-30 17:39:23.000000,2024-03-30 17:39:23,1059.0,8.0,217.0,52.0,204.0,30.0,281.0,1620.0,A full spaCy pipeline and models for scientific/biomedical documents.,33.0,30,True,2024-03-08 05:58:36.000,0.5.4,15.0,scispacy,,,,,929.0,898.0,https://pypi.org/project/scispacy,2024-03-08 05:58:36.000,31.0,25402.0,25402.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+316,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-04-07 13:04:52.000000,2024-04-07 13:04:52,1249.0,4.0,136.0,31.0,109.0,35.0,254.0,1544.0,Statistical package in Python based on Pandas.,45.0,30,False,2024-01-13 15:48:45.000,0.5.4,40.0,pingouin,conda-forge/pingouin,,,,2082.0,2008.0,https://pypi.org/project/pingouin,2024-01-13 15:46:36.000,74.0,66355.0,68871.0,https://anaconda.org/conda-forge/pingouin,2024-01-15 09:58:06.763,118266.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+317,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-04-11 17:54:34.000000,2024-04-11 17:54:34,1875.0,17.0,269.0,45.0,274.0,61.0,198.0,1504.0,TensorLy: Tensor Learning in Python.,67.0,30,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,732.0,654.0,https://pypi.org/project/tensorly,2023-03-08 01:09:02.237,78.0,32109.0,37172.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,364579.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+318,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2024-05-22 17:53:40.000000,2024-04-25 13:15:07,1476.0,4.0,159.0,31.0,251.0,,,1321.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,30,True,2024-04-25 12:54:53.000,1.3.5,77.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1714.0,1663.0,https://pypi.org/project/spacy-transformers,2024-04-25 12:53:43.000,51.0,275122.0,276267.0,https://anaconda.org/conda-forge/spacy-transformers,2023-12-19 11:34:09.090,34377.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+319,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-05-13 16:50:32.000000,2024-03-15 15:54:00,4210.0,3.0,285.0,80.0,644.0,21.0,609.0,1281.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,30,True,2024-01-31 22:49:04.000,24.01,37.0,pysal,conda-forge/pysal,,,,1564.0,1525.0,https://pypi.org/project/pysal,2024-01-31 22:49:08.000,39.0,25564.0,37374.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,543269.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+320,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-04-05 19:20:06.000000,2024-04-05 18:52:42,3044.0,17.0,269.0,34.0,37.0,1.0,491.0,1213.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2024-04-05 19:20:07.000,0.41.3,210.0,ktrain,,,,['tensorflow'],523.0,520.0,https://pypi.org/project/ktrain,2024-04-05 18:57:50.000,3.0,10582.0,10582.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+321,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-05-21 08:53:03.000000,2024-05-21 08:53:03,10684.0,171.0,227.0,36.0,1477.0,206.0,350.0,1162.0,Computations and statistics on manifolds with geometric structures.,92.0,30,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,109.0,106.0,https://pypi.org/project/geomstats,2023-08-30 05:33:32.000,3.0,2457.0,2567.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,2537.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+322,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2024-04-02 02:34:15.000000,2024-04-02 02:31:39,818.0,7.0,248.0,40.0,509.0,274.0,256.0,884.0,Scalable Machine Learning with Dask.,78.0,30,True,2024-04-02 02:33:18.000,2024.4.4,37.0,dask-ml,conda-forge/dask-ml,,,,1107.0,1018.0,https://pypi.org/project/dask-ml,2024-04-02 02:33:18.000,89.0,280266.0,297518.0,https://anaconda.org/conda-forge/dask-ml,2024-03-21 17:55:27.760,828122.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+323,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2024-05-23 13:45:24.000000,2024-05-20 11:53:29,3125.0,81.0,112.0,16.0,280.0,7.0,150.0,761.0,Python bindings for MPI.,26.0,30,True,2024-04-14 10:39:44.000,3.1.6,28.0,mpi4py,conda-forge/mpi4py,,,,674.0,,https://pypi.org/project/mpi4py,2024-04-14 10:34:55.000,674.0,232788.0,291263.0,https://anaconda.org/conda-forge/mpi4py,2024-04-15 09:42:38.104,2492479.0,,,,,2.0,23520.0,,,,,,,,,,,,,,,,,,,
+324,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2024-05-08 17:43:55.000000,2024-05-08 17:43:54,962.0,12.0,166.0,48.0,85.0,37.0,144.0,753.0,Library for exploring and validating machine learning data.,26.0,30,True,2024-04-24 23:26:22.000,1.15.1,46.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",924.0,893.0,https://pypi.org/project/tensorflow-data-validation,2024-04-24 23:54:11.000,31.0,192656.0,192665.0,,,,,,,,3.0,653.0,,,,,,,,,,,,,,,,,,,
+325,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-05-02 04:23:06.000000,2024-05-02 04:21:55,1073.0,19.0,173.0,35.0,117.0,27.0,61.0,722.0,Snowball compiler and stemming algorithms.,34.0,30,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,410.0,5.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,405.0,15747471.0,15834116.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,8057998.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+326,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-03-04 08:10:52.000000,2023-12-15 12:50:52,282.0,,107.0,24.0,53.0,37.0,57.0,479.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,30,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,20908.0,20785.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,123.0,2053879.0,2071848.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,772670.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+327,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-04-23 19:58:08.000000,2023-04-19 14:13:08,2404.0,,3678.0,607.0,227.0,49.0,,13219.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,2113.0,2049.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,64.0,20859.0,20859.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+328,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1840.0,217.0,46.0,96.0,94.0,8963.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],114.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,114372.0,115082.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,33378.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+329,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-05-17 03:07:31.985000,2024-04-26 06:29:23,1174.0,6.0,1318.0,101.0,640.0,691.0,521.0,8094.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,127.0,29,True,,,4.0,,conda-forge/nvidia-apex,,,['pytorch'],2472.0,2472.0,,,,,4909.0,https://anaconda.org/conda-forge/nvidia-apex,2024-05-17 03:07:31.985,211121.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+330,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2024-05-20 10:08:43.793000,2024-05-19 16:15:59,658.0,6.0,1003.0,146.0,99.0,90.0,309.0,6216.0,A Python scikit for building and analyzing recommender systems.,46.0,29,True,2024-05-19 14:25:59.000,1.1.4,12.0,scikit-surprise,conda-forge/scikit-surprise,,,,57.0,21.0,https://pypi.org/project/scikit-surprise,2024-05-19 14:25:59.000,36.0,92009.0,99968.0,https://anaconda.org/conda-forge/scikit-surprise,2024-05-20 10:08:43.793,366146.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,,
+331,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2024-03-31 17:27:35.000000,2023-10-22 09:33:23,779.0,,1156.0,211.0,92.0,194.0,122.0,5702.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,29,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,473.0,461.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,22383.0,22383.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+332,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-05-23 14:16:22.000000,2024-04-25 16:08:12,1087.0,1.0,378.0,80.0,531.0,59.0,454.0,5658.0,A scikit-learn compatible neural network library that wraps PyTorch.,62.0,29,True,2023-09-04 10:10:59.000,0.15.0,19.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1318.0,1241.0,https://pypi.org/project/skorch,2023-09-04 09:59:43.000,77.0,167511.0,185255.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,780769.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+333,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-10-19 19:24:54.000000,2023-10-19 19:24:51,248.0,,888.0,127.0,38.0,72.0,145.0,5260.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,29,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],3406.0,3317.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,89.0,731220.0,731541.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,15434.0,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+334,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-09-20 11:21:28.000000,2023-09-20 11:21:28,918.0,,634.0,147.0,789.0,141.0,356.0,4737.0,Deep Learning Visualization Toolkit.,33.0,29,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2926.0,2880.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,46.0,211830.0,211837.0,,,,,,,,2.0,365.0,,,,,,,,,,,,,,,,,,,
+335,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2024-05-21 15:37:39.000000,2023-04-30 18:36:20,483.0,,676.0,88.0,207.0,153.0,356.0,4629.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,29,False,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1473.0,1441.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,417069.0,419412.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,178124.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+336,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-06-16 19:26:38.185000,2022-07-07 05:16:43,738.0,,445.0,41.0,124.0,67.0,154.0,4330.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1245.0,1185.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,60.0,118536.0,119098.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,19699.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+337,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-02-17 21:29:54.000000,2023-11-13 07:19:19,1344.0,,375.0,69.0,367.0,98.0,460.0,4163.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,29,True,2023-11-13 07:24:08.000,0.8.5,29.0,sacred,conda-forge/sacred,,,,3072.0,3014.0,https://pypi.org/project/sacred,2023-11-13 07:24:08.000,58.0,30443.0,30619.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,5298.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+338,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-01-12 14:48:30.000000,2024-01-12 14:48:30,249.0,,274.0,46.0,50.0,27.0,94.0,3883.0,A simple command-line utility for querying and monitoring GPU status.,17.0,29,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,5488.0,5350.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,138.0,855360.0,862143.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,284886.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+339,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-05-14 18:30:13.000000,2023-02-26 20:07:33,189.0,,510.0,76.0,38.0,12.0,121.0,3824.0,Missing data visualization module for Python.,18.0,29,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,16372.0,16258.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,114.0,258261.0,425620.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,334719.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+340,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-05-02 05:07:00.000000,2024-04-18 17:19:51,1212.0,31.0,471.0,63.0,733.0,7.0,533.0,3506.0,On-device wake word detection powered by deep learning.,37.0,29,True,2024-01-30 21:38:49.000,3.0.2,34.0,pvporcupine,,,,,43.0,28.0,https://pypi.org/project/pvporcupine,2024-01-30 21:38:49.000,15.0,8010.0,8010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+341,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2024-05-16 18:13:04.000000,2024-05-16 18:13:03,456.0,8.0,524.0,113.0,93.0,21.0,101.0,3436.0,Module for automatic summarization of text documents and HTML pages.,32.0,29,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,2773.0,2747.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,26.0,425867.0,426095.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,7981.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+342,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-05-21 23:00:48.000000,2024-02-22 12:17:17,1487.0,,245.0,19.0,1746.0,287.0,726.0,3415.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,29,False,2024-01-31 13:08:55.000,0.18.1,60.0,deepchecks,,,,,382.0,375.0,https://pypi.org/project/deepchecks,2024-01-31 13:08:49.000,7.0,75973.0,75999.0,,,,,,,,2.0,836.0,,,,,,,,,,,,,,,,,,,
+343,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2024-03-20 16:17:12.000000,2022-04-29 04:19:24,1698.0,,384.0,45.0,1085.0,2.0,353.0,3235.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1155.0,1125.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,12228.0,12228.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+344,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-05-23 12:26:25.000000,2024-05-22 15:39:19,861.0,54.0,365.0,42.0,937.0,33.0,311.0,3158.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",46.0,29,True,2024-03-04 14:51:09.000,0.8.1,15.0,python-doctr,,,,"['tensorflow', 'pytorch']",3.0,,https://pypi.org/project/python-doctr,2024-03-04 14:51:09.000,3.0,31539.0,106932.0,,,,,,,,3.0,2940346.0,,,,,,,,,,,,,,,,,,,
+345,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,674.0,110.0,72.0,100.0,123.0,2983.0,Productivity Tools for Plotly + Pandas.,38.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],10892.0,10788.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,104.0,66060.0,66060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+346,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2024-03-22 11:10:03.000000,2023-06-20 03:14:12,435.0,,294.0,33.0,476.0,53.0,30.0,2961.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,29,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],1258.0,1174.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,84.0,133512.0,133512.0,https://anaconda.org/conda-forge/torch-optimizer,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+347,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-05-22 19:47:51.730000,2024-05-22 12:58:11,1169.0,19.0,388.0,49.0,74.0,149.0,480.0,2949.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",26.0,29,True,2024-05-22 13:25:36.000,1.1.7,91.0,mljar-supervised,conda-forge/mljar-supervised,,,,114.0,111.0,https://pypi.org/project/mljar-supervised,2024-05-22 12:58:42.000,3.0,3126.0,3543.0,https://anaconda.org/conda-forge/mljar-supervised,2024-05-22 19:47:51.730,14626.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+348,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,,424.0,63.0,933.0,325.0,745.0,2899.0,StellarGraph - Machine Learning on Graphs.,37.0,29,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],271.0,260.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,11.0,8451.0,8451.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+349,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-05-22 00:57:25.000000,2024-05-22 00:57:22,3538.0,18.0,341.0,153.0,1177.0,32.0,60.0,2694.0,Neural Network Libraries.,76.0,29,True,2023-12-07 00:57:13.000,1.38.0,78.0,nnabla,,,,,44.0,,https://pypi.org/project/nnabla,2023-12-06 09:31:24.000,44.0,3153.0,3164.0,,,,,,,,3.0,918.0,,,,,,,,,,,,,,,,,,,
+350,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,95.0,1045.0,260.0,297.0,2552.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,29,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1559.0,1537.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,78231.0,78231.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+351,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2024-03-18 12:42:13.000000,2018-08-19 12:37:47,130.0,,279.0,65.0,60.0,29.0,39.0,2405.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,29,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],5001.0,4917.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,84.0,495733.0,497850.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,173666.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+352,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,,336.0,44.0,57.0,67.0,207.0,2347.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,29,True,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],299.0,292.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,9925.0,9925.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+353,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-05-23 00:34:40.000000,2024-05-21 08:57:13,663.0,11.0,247.0,52.0,652.0,146.0,225.0,2308.0,Algorithms for explaining machine learning models.,22.0,29,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,625.0,600.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,17231.0,17231.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+354,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-05-21 10:49:30.000000,2024-05-21 10:49:30,727.0,11.0,216.0,37.0,537.0,141.0,235.0,2104.0,"Algorithms for outlier, adversarial and drift detection.",23.0,29,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,444.0,437.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,34087.0,34087.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+355,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-05-22 08:40:13.000000,2024-05-22 08:40:13,851.0,6.0,392.0,37.0,875.0,170.0,294.0,1821.0,A Python package to assess and improve fairness of machine learning models.,82.0,29,True,2023-12-19 14:14:09.000,0.10.0,20.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],53.0,3.0,https://pypi.org/project/fairlearn,2023-12-19 02:11:12.000,50.0,267092.0,267861.0,https://anaconda.org/conda-forge/fairlearn,2023-12-20 11:56:56.090,32310.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+356,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-05-22 21:54:05.000000,2024-05-06 18:14:07,2448.0,1.0,437.0,76.0,1266.0,148.0,682.0,1803.0,Gaussian processes in TensorFlow.,84.0,29,True,2024-02-07 15:19:13.000,2.9.1,49.0,gpflow,conda-forge/gpflow,,,['tensorflow'],695.0,658.0,https://pypi.org/project/gpflow,2024-02-07 15:19:13.000,37.0,58275.0,58647.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,26851.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+357,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-05-23 07:33:19.000000,2024-05-23 07:33:18,3898.0,55.0,281.0,27.0,575.0,88.0,712.0,1692.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,78.0,29,True,2024-02-27 17:02:40.000,0.5.0,8.0,avalanche-lib,,,,,85.0,82.0,https://pypi.org/project/avalanche-lib,2024-02-27 16:52:08.000,3.0,958.0,958.0,,,,,,,,2.0,21.0,,,,,,,,,,,,,,,,,,,
+358,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-05-19 15:07:34.000000,2024-05-19 14:52:17,713.0,2.0,318.0,43.0,367.0,81.0,215.0,1624.0,Training PyTorch models with differential privacy.,79.0,29,True,2024-02-11 17:28:30.000,1.4.1,21.0,opacus,conda-forge/opacus,,,['pytorch'],823.0,791.0,https://pypi.org/project/opacus,2024-02-11 17:28:30.000,32.0,130909.0,131411.0,https://anaconda.org/conda-forge/opacus,2024-02-11 19:23:25.249,14025.0,,,,,2.0,109.0,,,,,,,,,,,,,,,,,,,
+359,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-04-25 08:57:36.000000,2024-04-25 00:46:12,1435.0,16.0,271.0,73.0,105.0,33.0,55.0,1242.0,Model analysis tools for TensorFlow.,57.0,29,True,2024-04-25 08:57:36.000,0.46.0,57.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",25.0,2.0,https://pypi.org/project/tensorflow-model-analysis,2024-04-25 08:57:36.000,23.0,78512.0,78512.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+360,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2024-05-21 06:47:52.000000,2024-05-21 06:47:51,1964.0,23.0,322.0,27.0,2270.0,88.0,227.0,1242.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,42.0,29,True,2024-05-20 22:12:33.000,0.35.1,56.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",105.0,99.0,https://pypi.org/project/raiwidgets,2024-05-20 22:07:15.000,6.0,6016.0,6016.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+361,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-05-03 21:03:08.000000,2024-01-17 21:03:09,532.0,,411.0,51.0,40.0,16.0,139.0,1223.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,29,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2651.0,2613.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,332882.0,333756.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,42838.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+362,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2024-05-19 11:47:01.000000,2024-05-19 11:47:01,1104.0,42.0,207.0,23.0,139.0,24.0,192.0,1078.0,Survival analysis built on top of scikit-learn.,20.0,29,False,2023-12-30 23:36:40.000,0.22.2,28.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],508.0,481.0,https://pypi.org/project/scikit-survival,2023-12-30 23:36:40.000,27.0,95744.0,98775.0,https://anaconda.org/conda-forge/scikit-survival,2023-12-31 00:55:10.043,90935.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+363,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-04-01 17:38:38.000000,2024-03-25 14:43:57,494.0,1.0,120.0,32.0,128.0,27.0,74.0,890.0,Python bindings and utilities for GeoJSON.,56.0,29,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,17896.0,17254.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,642.0,1725633.0,1779232.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,803995.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+364,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-05-15 15:22:35.000000,2024-05-15 15:22:35,674.0,8.0,104.0,14.0,97.0,71.0,65.0,846.0,A Python nearest neighbor descent for approximate nearest neighbors.,29.0,29,True,2024-03-29 20:37:40.000,0.5.12,31.0,pynndescent,conda-forge/pynndescent,,,,6600.0,6461.0,https://pypi.org/project/pynndescent,2024-03-29 20:37:40.000,139.0,1395717.0,1435902.0,https://anaconda.org/conda-forge/pynndescent,2024-03-29 21:39:55.734,1848530.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+365,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-05-22 06:32:24.000000,2024-05-22 06:30:31,1311.0,9.0,149.0,50.0,57.0,20.0,69.0,832.0,Computer Vision in Python.,35.0,29,True,2024-04-17 11:27:48.000,1.4.15,61.0,mahotas,conda-forge/mahotas,,,,1325.0,1265.0,https://pypi.org/project/mahotas,2024-04-17 11:27:48.000,60.0,16517.0,25264.0,https://anaconda.org/conda-forge/mahotas,2024-05-18 06:10:05.533,411143.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+366,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-05-07 15:53:15.000000,2024-05-01 16:34:13,823.0,15.0,75.0,26.0,385.0,109.0,233.0,569.0,"Simple, concise geographical visualization in Python.",32.0,29,True,2024-04-05 15:56:28.000,1.12.0,63.0,geoviews,conda-forge/geoviews,,,,1048.0,992.0,https://pypi.org/project/geoviews,2024-04-05 10:57:38.000,56.0,13228.0,18272.0,https://anaconda.org/conda-forge/geoviews,2024-04-05 16:04:19.139,221944.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+367,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-05-18 15:32:00.000000,2024-04-12 14:18:33,232.0,5.0,58.0,13.0,206.0,13.0,187.0,319.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,29,True,2024-04-12 14:20:43.000,3.9.1,72.0,pystan,conda-forge/pystan,,,,9970.0,9813.0,https://pypi.org/project/pystan,2024-04-12 14:20:43.000,157.0,1905613.0,1938493.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2827737.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+368,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-11-21 01:05:50.000000,2020-01-31 13:06:18,347.0,,4819.0,651.0,372.0,498.0,436.0,15420.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,28,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,567.0,564.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,885.0,885.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+369,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-05-06 20:38:27.000000,2024-05-06 20:36:49,342.0,9.0,1365.0,428.0,50.0,102.0,87.0,10391.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2024-05-06 20:38:27.000,4.0.9,47.0,dopamine-rl,,,,['tensorflow'],31.0,21.0,https://pypi.org/project/dopamine-rl,2024-05-06 20:38:27.000,10.0,32056.0,32056.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+370,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2024-04-05 19:03:17.000000,2022-11-08 22:11:16,98.0,,1772.0,205.0,73.0,109.0,36.0,10133.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,28,False,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,15.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,13.0,63389.0,63389.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+371,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-05-02 01:34:04.000000,2023-04-19 16:47:52,581.0,,1146.0,350.0,80.0,49.0,231.0,7936.0,StarCraft II Learning Environment.,39.0,28,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,773.0,747.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,2687.0,3073.0,,,,,,,,2.0,31335.0,,,google-deepmind/pysc2,,,,,,,,,,,,,,,,
+372,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,909.0,267.0,98.0,82.0,81.0,7331.0,Visualizations for machine learning datasets.,31.0,28,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],247.0,239.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,277277.0,277277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+373,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-10-24 07:07:43.000000,2023-08-16 23:55:56,220.0,,1330.0,175.0,46.0,78.0,238.0,6837.0,2D and 3D Face alignment library build using pytorch.,26.0,28,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],30.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,9.0,77951.0,77951.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+374,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1368.0,204.0,158.0,44.0,227.0,5495.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],768.0,762.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,1585.0,1585.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+375,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,,780.0,273.0,438.0,221.0,329.0,4823.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,28,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],319.0,317.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,450.0,450.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,,
+376,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2024-03-07 14:59:40.000000,2022-08-06 21:47:18,182.0,,435.0,71.0,61.0,101.0,56.0,4537.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,1829.0,1822.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,7.0,270527.0,270527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+377,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2024-03-16 11:54:12.000000,2022-04-01 13:57:36,131.0,,988.0,146.0,31.0,51.0,77.0,4269.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,28,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,8543.0,8456.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,87.0,209673.0,210041.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,14019.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+378,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-05-10 20:41:29.000000,2024-04-05 14:20:01,251.0,2.0,917.0,52.0,55.0,69.0,106.0,4216.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,17.0,28,True,2024-04-29 17:50:14.000,2.6.0,33.0,facenet-pytorch,,,,['pytorch'],1836.0,1806.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,30.0,66218.0,84463.0,,,,,,,,3.0,985283.0,,,,,,,,,,,,,,,,,,,
+379,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2024-04-13 16:57:34.000000,2024-03-19 16:05:30,525.0,2.0,725.0,176.0,82.0,8.0,280.0,4174.0,A python wrapper for Alpha Vantage API for financial data.,43.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,596.0,563.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,33.0,31170.0,31337.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,6714.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+380,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,412.0,37.0,56.0,137.0,43.0,3970.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],14234.0,14114.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,120.0,241855.0,241855.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+381,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,971.0,217.0,408.0,140.0,402.0,3848.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1057.0,1045.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,2654.0,2654.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+382,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-05-21 06:21:14.000000,2024-03-15 19:57:42,1777.0,36.0,583.0,39.0,831.0,481.0,283.0,3657.0,Time series forecasting with PyTorch.,44.0,28,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,16.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,16.0,49962.0,51251.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,56734.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+383,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-05-20 11:58:19.000000,2024-05-20 11:57:13,1201.0,6.0,413.0,82.0,54.0,61.0,202.0,3399.0,A library of reinforcement learning components and agents.,85.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],202.0,199.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1540.0,1743.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,8556.0,,,,,1.0,,,,google-deepmind/acme,,,,,,,,,,,,,,,,
+384,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-01-06 17:57:28.000000,2024-01-06 17:57:28,619.0,,330.0,46.0,120.0,66.0,136.0,2854.0,A python library for decision tree visualization and model interpretation.,26.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1187.0,1163.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,129343.0,131008.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,69959.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+385,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-03-20 16:55:01.000000,2024-03-20 16:53:52,2297.0,1.0,722.0,79.0,205.0,191.0,466.0,2742.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",151.0,28,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],12.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,12.0,43976.0,43976.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,,
+386,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,8.0,473.0,96.0,43.0,89.0,240.0,2717.0,Learning to Rank in TensorFlow.,34.0,28,True,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,134120.0,134120.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+387,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-05-22 12:04:04.000000,2024-05-13 15:04:22,3519.0,14.0,522.0,108.0,351.0,388.0,685.0,2710.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",81.0,28,False,2015-03-31 16:33:30.000,2.0,21.0,essentia,,,,,674.0,654.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,19253.0,19253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+388,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-05-17 16:33:06.000000,2023-12-03 09:09:14,2415.0,,256.0,27.0,1132.0,77.0,224.0,2590.0,Database system for AI-powered apps.,73.0,28,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],143.0,143.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,3179.0,21922.0,,,,,,,,3.0,412353.0,,,georgia-tech-db/evadb,,,,,,,,,,,,,,,,
+389,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2024-05-23 09:22:00.000000,2024-05-21 19:11:35,111.0,22.0,321.0,28.0,304.0,40.0,332.0,2423.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,8.0,28,True,2024-05-21 19:16:35.000,0.2.1,19.0,adapter-transformers,,,,['huggingface'],63.0,56.0,https://pypi.org/project/adapter-transformers,2023-12-16 14:14:02.000,7.0,107599.0,107599.0,,,,,,,,2.0,,,,adapter-hub/adapters,,,,,,,,,,,,,,,,
+390,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-05-20 14:20:45.000000,2024-04-08 19:42:17,436.0,5.0,809.0,90.0,285.0,188.0,102.0,2334.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,28,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,437.0,411.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,26.0,48844.0,49078.0,https://anaconda.org/conda-forge/aif360,2024-04-09 06:44:48.814,10330.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+391,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,313.0,64.0,14.0,29.0,47.0,2250.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,11307.0,11163.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,144.0,405358.0,405358.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+392,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-05-20 17:35:37.000000,2024-05-19 09:52:31,2062.0,236.0,126.0,28.0,200.0,16.0,22.0,1881.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,28,True,2024-03-21 07:36:40.000,0.5.1,145.0,labml,,,,,155.0,149.0,https://pypi.org/project/labml,2024-03-21 07:36:40.000,6.0,3751.0,3751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+393,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-02-13 19:24:57.000000,2024-02-01 18:50:30,675.0,,400.0,41.0,62.0,19.0,270.0,1878.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,28,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1655.0,1633.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,36428.0,37151.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,31824.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+394,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-02-13 11:22:02.000000,2024-02-13 11:18:32,1805.0,,377.0,50.0,125.0,41.0,422.0,1676.0,Reinforcement Learning environments based on the 1993 game Doom.,54.0,28,True,2023-12-16 01:55:15.000,1.2.3,29.0,vizdoom,,,,,248.0,235.0,https://pypi.org/project/vizdoom,2023-12-16 01:55:15.000,13.0,2334.0,2454.0,,,,,,,,1.0,11855.0,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,,
+395,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-04-29 18:33:44.000000,2024-04-29 18:20:59,222.0,29.0,197.0,32.0,20.0,1.0,90.0,1643.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,28,True,2024-04-29 18:33:44.000,0.1.904,89.0,autoviz,conda-forge/autoviz,,,,689.0,682.0,https://pypi.org/project/autoviz,2024-04-29 18:33:44.000,7.0,37355.0,38893.0,https://anaconda.org/conda-forge/autoviz,2024-04-26 17:50:17.078,50775.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+396,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-09-26 23:11:11.000000,2023-09-26 23:11:11,163.0,,184.0,34.0,72.0,22.0,52.0,1492.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,28,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],3070.0,3040.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,30.0,1375175.0,1375704.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,21188.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+397,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-05-13 09:59:37.000000,2024-05-13 09:59:37,589.0,20.0,415.0,30.0,50.0,14.0,125.0,1394.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,29.0,28,False,2024-02-16 09:48:48.000,2.3.2,25.0,minisom,,,,,616.0,592.0,https://pypi.org/project/minisom,2024-02-16 09:47:58.000,24.0,23123.0,23123.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+398,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2024-05-22 12:17:19.000000,2024-05-22 12:17:17,677.0,10.0,167.0,48.0,162.0,19.0,382.0,1334.0,moDel Agnostic Language for Exploration and eXplanation.,25.0,28,False,2024-02-28 20:54:37.000,1.7.0,27.0,dalex,conda-forge/dalex,,,,172.0,165.0,https://pypi.org/project/dalex,2024-02-28 20:54:37.000,7.0,18881.0,19203.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,12894.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+399,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-05-23 09:55:57.000000,2024-05-22 20:16:54,1045.0,30.0,115.0,23.0,116.0,32.0,53.0,1307.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",23.0,28,True,2024-05-22 20:17:23.000,1.4.4,47.0,imodels,,,,,81.0,72.0,https://pypi.org/project/imodels,2024-05-22 20:17:23.000,9.0,71701.0,71701.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+400,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-03-02 16:58:45.000000,2023-06-06 09:46:40,415.0,,327.0,39.0,301.0,27.0,200.0,1235.0,A research toolkit for particle swarm optimization in Python.,45.0,28,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,405.0,383.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,21802.0,21802.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+401,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-05-23 14:57:31.000000,2024-05-21 11:24:48,516.0,27.0,113.0,23.0,366.0,34.0,273.0,1161.0,Extra blocks for scikit-learn pipelines.,67.0,28,True,2024-04-16 14:59:21.000,0.8.2,50.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],152.0,144.0,https://pypi.org/project/scikit-lego,2024-04-16 12:18:11.000,8.0,21890.0,22897.0,https://anaconda.org/conda-forge/scikit-lego,2024-04-17 13:14:18.003,48340.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+402,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-05-23 11:42:03.000000,2024-05-23 11:19:26,1826.0,288.0,79.0,10.0,559.0,49.0,643.0,1131.0,An open-source container orchestration engine for running AI workloads in any cloud or data center...,25.0,28,True,2024-05-23 11:42:03.000,0.18.2,204.0,dstack,,,,,14.0,14.0,https://pypi.org/project/dstack,2024-05-23 11:42:03.000,,2331.0,2331.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+403,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,445.0,42.0,176.0,93.0,102.0,1025.0,"Utilities for working with image data, text data, and sequence data.",52.0,28,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],304.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,304.0,5208247.0,5239559.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2223170.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+404,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-05-20 17:06:17.000000,2024-05-20 13:49:09,3166.0,288.0,108.0,11.0,551.0,23.0,108.0,961.0,Time series forecasting with scikit-learn models.,13.0,28,True,2024-05-20 17:06:17.000,0.12.1,27.0,skforecast,,,,['sklearn'],274.0,262.0,https://pypi.org/project/skforecast,2024-05-20 17:02:30.000,12.0,47969.0,47969.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+405,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-05-23 08:33:53.000000,2024-05-23 08:33:53,1355.0,23.0,131.0,25.0,474.0,14.0,134.0,824.0,A Comparative Framework for Multimodal Recommender Systems.,21.0,28,True,2024-05-06 22:24:15.000,2.2.0,57.0,cornac,conda-forge/cornac,,,,229.0,211.0,https://pypi.org/project/cornac,2024-05-06 22:50:06.000,18.0,34410.0,42571.0,https://anaconda.org/conda-forge/cornac,2024-05-22 19:13:36.782,383587.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+406,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2024-05-12 23:17:26.000000,2024-05-12 22:59:32,3715.0,8.0,324.0,65.0,687.0,37.0,531.0,821.0,The Classical Language Toolkit.,121.0,28,True,2024-05-13 16:48:36.000,1.2.6,217.0,cltk,,,,,276.0,261.0,https://pypi.org/project/cltk,2024-05-12 23:09:13.000,15.0,1611.0,1611.0,,,,,,,,2.0,64.0,,,,,,,,,,,,,,,,,,,
+407,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-11-03 15:14:22.000000,2023-11-03 14:46:16,569.0,,36.0,11.0,69.0,7.0,26.0,209.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,28,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,43470.0,43376.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,94.0,9226546.0,9274458.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2108158.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+408,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-03-26 06:01:50.000000,2023-10-12 07:20:40,1894.0,,1071.0,236.0,455.0,67.0,265.0,17232.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,True,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,44662.0,45074.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,23927.0,3.0,,,,,,,,,,,,,,,,,,,,
+409,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-05-23 13:04:23.000000,2024-05-22 05:05:34,2225.0,1.0,2813.0,197.0,3661.0,1200.0,4134.0,12188.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",159.0,27,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,,['paddle'],2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,716.0,716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+410,pandas-ai,gventuri/pandas-ai,others,,https://github.com/Sinaptik-AI/pandas-ai,https://github.com/Sinaptik-AI/pandas-ai,,2023-04-22 12:58:01.000,2024-05-23 12:43:02.000000,2024-05-23 12:29:27,950.0,176.0,1003.0,97.0,441.0,241.0,337.0,11244.0,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational..",80.0,27,False,2024-05-19 00:58:57.000,2.0.43,100.0,pandas-ai,,,,,3037.0,3037.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,3.0,,,,Sinaptik-AI/pandas-ai,,,,,,,,,,,,,,,,
+411,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1500.0,130.0,51.0,155.0,141.0,7775.0,A PyTorch implementation of EfficientNet.,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],44.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,43.0,137585.0,215694.0,,,,,,,,2.0,3905466.0,,,,,,,,,,,,,,,,,,,
+412,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1639.0,459.0,698.0,33.0,441.0,7300.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,2281.0,2304.0,,,,,,,,2.0,2191.0,,,,,,,,,,,,,,,,,,,
+413,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1352.0,348.0,14.0,42.0,66.0,6347.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1337.0,1330.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,7.0,35295.0,35295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+414,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,AGPL-3.0,2013-04-05 23:14:27.000,2023-09-01 15:42:16.000000,2023-08-31 21:49:25,6626.0,,1586.0,624.0,2111.0,453.0,1338.0,6334.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,27,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,1556.0,1556.0,,,,,,,,3.0,8.0,,,numenta/nupic-legacy,,,,,,,,,,,,,,,,
+415,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-04-29 08:04:00.000000,2024-03-08 08:24:03,13775.0,66.0,1536.0,140.0,3584.0,856.0,1103.0,5539.0,An Industrial Grade Federated Learning Framework.,100.0,27,True,2024-03-08 08:32:35.000,2.1.0,49.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+416,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,,867.0,125.0,64.0,136.0,74.0,5031.0,Image augmentation library in Python for machine learning.,23.0,27,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,766.0,754.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,10004.0,10004.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+417,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-04-04 13:02:44.000000,2024-04-04 13:02:44,6153.0,1.0,527.0,150.0,1906.0,338.0,1331.0,4430.0,ArrayFire: a general purpose GPU library.,88.0,27,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,10.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,10.0,1463.0,1520.0,,,,,,,,2.0,6108.0,,,,,,,,,,,,,,,,,,,
+418,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-07-29 21:28:21.000000,2023-07-05 18:14:28,901.0,,553.0,104.0,617.0,95.0,606.0,4210.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],93.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,93.0,549900.0,551640.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,78340.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+419,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,283.0,226.0,12.0,356.0,3870.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,False,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,687079.0,687490.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,21794.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+420,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-05-22 20:37:14.000000,2024-04-17 02:40:53,1439.0,35.0,343.0,69.0,1334.0,96.0,83.0,3409.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,36.0,27,True,2024-04-09 23:12:45.000,1.1.1,16.0,lit-nlp,conda-forge/lit-nlp,,,,35.0,32.0,https://pypi.org/project/lit-nlp,2024-04-09 23:12:45.000,3.0,4171.0,5809.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,72077.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+421,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-04-09 15:08:12.000000,2024-04-09 15:08:11,2114.0,6.0,538.0,144.0,239.0,39.0,634.0,3284.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,27,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],450.0,446.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,4.0,866.0,866.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+422,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-05-20 17:20:08.000000,2023-09-10 15:15:16,1059.0,,238.0,62.0,114.0,9.0,274.0,3230.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,27,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,,556.0,543.0,https://pypi.org/project/vidgear,2023-09-10 19:39:46.000,13.0,17235.0,17256.0,,,,,,,,3.0,1325.0,,,,,,,,,,,,,,,,,,,
+423,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-01-05 06:03:44.000000,2024-01-02 20:16:48,4161.0,,364.0,81.0,63.0,154.0,189.0,3200.0,a library for audio and music analysis.,25.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,476.0,460.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,16.0,4502.0,12104.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,653772.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+424,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,455.0,82.0,245.0,61.0,155.0,3035.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,27,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,186.0,184.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,58984.0,58985.0,,,,,,,,3.0,77.0,,,,,,,,,,,,,,,,,,,
+425,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-05-18 05:22:53.000000,2024-05-18 05:22:47,1636.0,123.0,630.0,44.0,28.0,4.0,476.0,3029.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,31.0,27,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],21.0,21.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,391.0,391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+426,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-04-27 07:02:54.000000,2022-09-28 17:12:28,249.0,,312.0,29.0,321.0,77.0,38.0,2731.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,27,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],945.0,944.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,19399.0,19489.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2975.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+427,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,331.0,77.0,55.0,161.0,68.0,2270.0,Multilingual text (NLP) processing toolkit.,26.0,27,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1307.0,1258.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,62464.0,62464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+428,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,255.0,89.0,124.0,33.0,230.0,2179.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1845.0,1779.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,47769.0,49475.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,143315.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+429,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,317.0,64.0,38.0,97.0,160.0,2170.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],359.0,353.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,11126.0,11126.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+430,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2024-04-08 21:03:52.579000,2021-07-16 09:03:20,66.0,,463.0,38.0,43.0,64.0,58.0,2063.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,27,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],2121.0,2107.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,105074.0,109375.0,https://anaconda.org/anaconda/efficientnet,2024-04-08 21:03:52.579,494.0,,,,,3.0,257448.0,,,,,,,,,,,,,,,,,,,
+431,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-05-03 16:38:58.000000,2024-04-04 12:44:05,521.0,2.0,401.0,85.0,104.0,79.0,259.0,2046.0,bt - flexible backtesting for Python.,32.0,27,True,2023-11-20 03:03:12.000,1.0.0,26.0,bt,conda-forge/bt,,,,1614.0,1604.0,https://pypi.org/project/bt,2023-11-20 03:03:12.000,10.0,7318.0,7968.0,https://anaconda.org/conda-forge/bt,2023-11-20 16:37:06.276,24052.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+432,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2024-03-19 21:59:57.000000,2024-03-19 21:59:57,1652.0,16.0,160.0,61.0,68.0,65.0,130.0,1805.0,A Python toolbox for gaining geometric insights into high-dimensional data.,22.0,27,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,415.0,413.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,851.0,851.0,,,,,,,,3.0,34.0,,,,,,,,,,,,,,,,,,,
+433,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,,213.0,36.0,1081.0,25.0,496.0,1729.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,27,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],285.0,280.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,2377.0,2936.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,18455.0,,,,,2.0,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,,
+434,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,33.0,269.0,27.0,187.0,10.0,390.0,1617.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,27,True,2024-04-21 09:02:06.000,1.4,18.0,talos,,,,['tensorflow'],182.0,174.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,1326.0,1326.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+435,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-05-22 22:01:16.000000,2024-05-22 01:24:18,6428.0,126.0,289.0,46.0,2728.0,311.0,1439.0,1590.0,cuGraph - RAPIDS Graph Analytics Library.,114.0,27,True,2024-04-10 21:01:45.000,24.04.00,35.0,cugraph,conda-forge/libcugraph,,,,6.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,211.0,728.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,19146.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+436,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-01-05 03:23:07.000000,2022-08-31 01:52:51,509.0,,308.0,103.0,49.0,8.0,151.0,1572.0,Distributed Deep learning with Keras & Spark.,27.0,27,False,2024-01-05 03:23:07.000,5.2.1,42.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",75.0,75.0,https://pypi.org/project/elephas,2024-01-05 03:23:07.000,,41928.0,42171.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,13880.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+437,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,312.0,73.0,742.0,58.0,168.0,1478.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,399.0,397.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,2156.0,2156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+438,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-01-31 21:10:59.000000,2020-10-14 13:22:39,167.0,,347.0,71.0,87.0,27.0,26.0,1229.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,27,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1430.0,1378.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,52.0,27796.0,28153.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,26834.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+439,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2024-05-17 10:42:26.000000,2023-11-24 11:08:47,208.0,,83.0,34.0,110.0,7.0,18.0,1193.0,A library of reinforcement learning building blocks in JAX.,21.0,27,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],240.0,229.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,2643804.0,2643804.0,,,,,,,,2.0,,,,google-deepmind/rlax,,,,,,,,,,,,,,,,
+440,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-02-25 11:40:08.000000,2024-02-08 16:58:25,2080.0,,249.0,41.0,39.0,68.0,591.0,1146.0,"pyclustering is a Python, C++ data mining library.",26.0,27,True,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,700.0,671.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,29.0,44877.0,46302.0,https://anaconda.org/conda-forge/pyclustering,2023-11-16 19:00:50.847,65331.0,,,,,3.0,512.0,,,,,,,,,,,,,,,,,,,
+441,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,185.0,40.0,173.0,65.0,174.0,927.0,A Jupyter - Three.js bridge.,30.0,27,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],125.0,30.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,81.0,77467.0,85909.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,539758.0,,,,,3.0,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,2820.0,,,,,,,,,,,
+442,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,174.0,33.0,86.0,88.0,122.0,907.0,A scikit-learn based module for multi-label et. al. classification.,28.0,27,False,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1615.0,1593.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,22.0,82479.0,82479.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+443,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-05-09 07:59:27.000000,2024-05-01 00:09:23,16580.0,11.0,367.0,44.0,1620.0,309.0,2961.0,864.0,An open-source application for biological image analysis.,143.0,27,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,22.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,2.0,510.0,565.0,,,,,,,,3.0,6893.0,,,,,,,,,,,,,,,,,,,
+444,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-05-17 13:18:43.000000,2024-05-17 13:18:43,604.0,33.0,162.0,32.0,195.0,4.0,100.0,595.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,32.0,27,True,2024-04-10 11:45:27.000,0.6,12.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],367.0,341.0,https://pypi.org/project/pyriemann,2024-04-10 11:46:01.000,26.0,40303.0,40554.0,https://anaconda.org/conda-forge/pyriemann,2024-04-10 14:21:44.720,5793.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+445,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-05-17 21:25:45.000000,2024-05-07 09:33:03,327.0,17.0,91.0,19.0,118.0,36.0,80.0,583.0,pyspark methods to enhance developer productivity.,28.0,27,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,,['spark'],84.0,77.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,766057.0,766057.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,,
+446,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-04-24 18:16:33.000000,2023-08-23 17:20:54,1241.0,,154.0,19.0,717.0,26.0,208.0,479.0,A package built to support working with spatial data using open source python.,44.0,27,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,340.0,323.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,7679.0,8923.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,75937.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+447,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1203.0,184.0,213.0,25.0,534.0,8893.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,257.0,,,,,,,,3.0,10287.0,,,,,,,,,,,,,,,,,,,
+448,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-10-23 02:26:28.000000,2020-05-03 07:13:22,108.0,,595.0,140.0,31.0,70.0,55.0,5550.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1695.0,1642.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,53.0,1662956.0,1663363.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,18747.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+449,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-03-22 00:24:33.000000,2024-03-22 00:17:00,218.0,3.0,295.0,71.0,179.0,24.0,54.0,4908.0,"A data augmentations library for audio, image, text, and video.",34.0,26,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,121.0,117.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,2610.0,2610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+450,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-04-23 02:12:59.000000,2024-04-23 02:12:59,1138.0,1.0,720.0,60.0,1013.0,167.0,740.0,4118.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,26,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],128.0,125.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,3.0,5652.0,5652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+451,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-03-20 17:23:36.000000,2023-10-12 08:57:51,209.0,,309.0,85.0,95.0,48.0,32.0,3490.0,Python library that makes it easy for data scientists to create charts.,25.0,26,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,85.0,76.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,9.0,15609.0,16069.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,30364.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+452,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-03-03 01:58:14.000000,2024-03-03 01:31:19,180.0,1.0,392.0,161.0,84.0,102.0,101.0,3199.0,A deep learning library for video understanding research.,55.0,26,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],23.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,23.0,94048.0,94048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+453,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2024-02-12 06:44:22.000000,2020-04-27 18:40:41,522.0,,1022.0,167.0,215.0,43.0,146.0,3117.0,Performance analysis of predictive (alpha) stock factors.,26.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,694.0,689.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,1449.0,1726.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,20816.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+454,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-03-19 19:20:10.000000,2024-03-18 19:51:35,2374.0,14.0,687.0,159.0,61.0,7.0,756.0,3097.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,30.0,26,True,2024-03-19 19:20:10.000,1.6.1,21.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,913.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,64776.0,,,,,3.0,4714.0,,,,,,,,,,,,,,,,,,,
+455,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,,1050.0,217.0,3649.0,429.0,1111.0,3009.0,Unified and efficient Machine Learning.,248.0,26,True,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1626.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,132637.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1511.0,3.0,,,,,,,,,,shogun,,,,,,,,,,
+456,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-12-04 12:10:57.449000,2023-11-29 13:26:08,135.0,,264.0,53.0,19.0,36.0,97.0,2843.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,26,True,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,2254.0,2225.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,29.0,71348.0,72099.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,29320.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+457,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,67.0,167.0,164.0,113.0,2731.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,57.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,57.0,372594.0,374402.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,151924.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+458,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2024-03-14 19:50:06.000000,2024-03-14 19:50:06,769.0,1.0,696.0,180.0,75.0,21.0,565.0,2702.0,Python sync/async framework for Interactive Brokers API.,36.0,26,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,40.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,40.0,31332.0,32033.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,40694.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+459,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,217.0,66.0,42.0,16.0,24.0,2685.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,26,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,984.0,979.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,66172.0,66440.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,14763.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+460,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-02-01 01:44:20.000000,2023-12-11 13:43:52,1053.0,,443.0,126.0,143.0,192.0,247.0,2609.0,PYthon svg GrAph plotting Library.,77.0,26,False,2023-11-21 15:34:11.000,3.0.4,80.0,pygal,conda-forge/pygal,,,,96.0,,https://pypi.org/project/pygal,2023-11-21 15:34:11.000,96.0,311446.0,314020.0,https://anaconda.org/conda-forge/pygal,2023-11-21 17:04:08.093,41193.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+461,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-04-10 16:58:39.000000,2024-01-30 18:07:43,695.0,,232.0,35.0,147.0,17.0,144.0,2313.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,26,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,185.0,181.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,4.0,17741.0,17747.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,,
+462,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-03-06 06:56:13.000000,2024-03-06 06:55:14,388.0,1.0,285.0,56.0,14.0,22.0,79.0,2210.0,Beautiful visualizations of how language differs among document types.,14.0,26,True,2024-03-06 06:56:13.000,0.2.1,150.0,scattertext,conda-forge/scattertext,,,,558.0,553.0,https://pypi.org/project/scattertext,2024-03-06 06:56:13.000,5.0,13029.0,14126.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,88920.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+463,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-05-21 21:29:02.000000,2023-06-01 12:18:23,739.0,,315.0,42.0,44.0,99.0,56.0,2151.0,A modular active learning framework for Python.,20.0,26,True,2024-05-21 21:29:02.000,0.62.180,963.0,modAL,,,,['sklearn'],27.0,,https://pypi.org/project/modAL,2024-05-21 21:29:02.000,27.0,292952.0,292952.0,,,,,,,,3.0,35.0,,,,,,,,,,,,,,,,,,,
+464,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-05-21 23:50:54.000000,2024-05-21 15:42:46,481.0,2.0,335.0,63.0,155.0,8.0,92.0,2107.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,26,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,666.0,649.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,17.0,41837.0,41837.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+465,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2024-05-13 22:13:39.000000,2024-05-13 22:13:34,870.0,8.0,446.0,59.0,333.0,113.0,92.0,1879.0,Library for training machine learning models with privacy for training data.,59.0,26,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,15.0,21172.0,21174.0,,,,,,,,3.0,155.0,,,,,,,,,,,,,,,,,,,
+466,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-05-06 20:43:34.000000,2024-03-31 23:27:50,918.0,26.0,135.0,33.0,441.0,50.0,353.0,1811.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,57.0,56.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,19753.0,19753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+467,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-05-06 20:43:34.000000,2024-03-31 23:27:50,918.0,26.0,135.0,33.0,441.0,50.0,353.0,1811.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,conda-forge/orbit-ml,,,,57.0,56.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,19753.0,20009.0,https://anaconda.org/conda-forge/orbit-ml,2024-04-01 02:54:47.033,7175.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+468,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,,276.0,40.0,495.0,172.0,151.0,1756.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,175.0,167.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,35677.0,35683.0,,,,,,,,3.0,457.0,,,,,,,,,,,,,,,,,,,
+469,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,160.0,25.0,81.0,43.0,35.0,1714.0,A Python package for time series classification.,14.0,26,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,623.0,604.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,138119.0,138883.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,23690.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+470,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-05-21 17:39:54.000000,2024-05-21 17:32:58,936.0,116.0,262.0,46.0,772.0,76.0,65.0,1631.0,A lightweight library for PyTorch training tools and utilities.,128.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],24.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,24.0,7195.0,7195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+471,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2024-05-17 08:23:44.000000,2024-05-17 08:23:43,2830.0,9.0,175.0,26.0,669.0,118.0,446.0,1544.0,A Python library for learning and evaluating knowledge graph embeddings.,38.0,26,True,2024-02-19 21:29:27.000,1.10.2,47.0,pykeen,,,,,6.0,,https://pypi.org/project/pykeen,2024-02-19 21:25:43.000,6.0,5308.0,5311.0,,,,,,,,2.0,180.0,,,,,,,,,,,,,,,,,,,
+472,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-05-19 03:08:50.610000,2024-05-10 13:50:09,1034.0,3.0,177.0,17.0,71.0,30.0,342.0,1483.0,PyTorch Extension Library of Optimized Scatter Operations.,30.0,26,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],128.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,128.0,36946.0,43086.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-05-19 03:08:50.610,288582.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+473,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-04-30 13:26:27.000000,2023-06-07 07:35:59,3033.0,,120.0,36.0,337.0,11.0,187.0,1432.0,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,321.0,299.0,https://pypi.org/project/pycm,2023-06-07 14:08:01.991,22.0,43716.0,43716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+474,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2023-10-09 07:21:10.000000,2023-09-29 00:13:39,295.0,,231.0,46.0,184.0,53.0,120.0,1380.0,Metric learning algorithms in Python.,22.0,26,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],383.0,376.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,16079.0,16331.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,11625.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+475,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-05-23 06:44:53.000000,2024-05-23 06:44:52,691.0,7.0,155.0,22.0,126.0,4.0,128.0,1379.0,"Extensible, parallel implementations of t-SNE.",12.0,26,True,2023-11-29 14:50:50.000,1.0.1,27.0,opentsne,conda-forge/opentsne,,,,842.0,799.0,https://pypi.org/project/opentsne,2023-11-29 14:45:37.000,43.0,30825.0,36423.0,https://anaconda.org/conda-forge/opentsne,2024-05-19 08:28:58.978,251916.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+476,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-10-05 01:24:33.000000,2023-10-05 01:24:32,851.0,,270.0,76.0,481.0,49.0,198.0,1328.0,Underthesea - Vietnamese NLP Toolkit.,18.0,26,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,1045.0,1034.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,11.0,15150.0,15225.0,,,,,,,,3.0,6378.0,,,,,,,,,,,,,,,,,,,
+477,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-11-28 23:16:10.000000,2023-09-10 06:51:22,1752.0,,197.0,43.0,257.0,66.0,212.0,1250.0,Python audio and music signal processing library.,20.0,26,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,448.0,421.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,1740.0,1740.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+478,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,174.0,26.0,36.0,1.0,116.0,1238.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1612.0,1591.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,57979.0,57979.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+479,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2023-06-16 13:22:22.238000,2022-12-22 14:52:10,805.0,,144.0,35.0,214.0,117.0,152.0,1222.0,Real-time stream processing for python.,48.0,26,False,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,518.0,463.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,55.0,25599.0,36355.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,860495.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+480,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-04-16 18:02:40.000000,2024-04-16 18:02:40,396.0,2.0,177.0,26.0,32.0,4.0,129.0,1202.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,26,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],547.0,533.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,14.0,108969.0,109310.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,18444.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+481,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-11-24 07:58:55.401000,2023-11-09 17:20:43,139.0,,112.0,21.0,103.0,43.0,74.0,1134.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,26,True,2023-11-09 17:23:02.000,1.5.1,23.0,submitit,conda-forge/submitit,,,,2676.0,2637.0,https://pypi.org/project/submitit,2023-11-09 17:23:02.000,39.0,281153.0,281958.0,https://anaconda.org/conda-forge/submitit,2023-11-24 07:58:55.401,36260.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+482,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-05-20 12:37:40.000000,2024-05-03 23:42:39,1985.0,54.0,364.0,55.0,513.0,156.0,253.0,1129.0,Machine learning on FPGAs using HLS.,60.0,26,True,2023-12-19 21:00:58.000,0.8.1,16.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2023-12-19 21:00:58.000,,874.0,1046.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,7606.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+483,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-05-22 20:03:34.000000,2024-05-21 21:43:45,2369.0,262.0,88.0,19.0,917.0,86.0,214.0,1086.0,"MetricFlow allows you to define, build, and maintain metrics in code.",44.0,26,False,2024-03-02 00:18:17.000,0.205.0,84.0,metricflow,,,,,26.0,23.0,https://pypi.org/project/metricflow,2024-04-04 05:32:07.000,3.0,20672.0,20672.0,,,,,,,,3.0,,,,dbt-labs/metricflow,,,,,,,,,,,,,,,,
+484,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2024-03-29 13:25:52.761000,2024-03-27 08:01:51,780.0,3.0,63.0,13.0,127.0,46.0,115.0,962.0,Visualize large time series data with plotly.py.,12.0,26,True,2024-03-27 07:58:10.000,0.10.0,62.0,plotly-resampler,conda-forge/plotly-resampler,,,,1126.0,1104.0,https://pypi.org/project/plotly-resampler,2024-03-27 07:54:02.000,22.0,432281.0,433758.0,https://anaconda.org/conda-forge/plotly-resampler,2024-03-29 13:25:52.761,41378.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+485,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2024-05-21 01:36:11.000000,2024-05-21 01:35:55,553.0,93.0,101.0,24.0,98.0,15.0,106.0,668.0,"Python library for reading audio file metadata, duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave, AIFF and a few..",26.0,26,True,2023-10-26 19:30:36.000,1.10.1,41.0,tinytag,,,,,103.0,,https://pypi.org/project/tinytag,2023-10-26 19:30:36.000,103.0,29706.0,29706.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+486,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-05-15 16:08:44.000000,2024-05-13 16:47:27,911.0,12.0,107.0,43.0,113.0,56.0,46.0,638.0,Bias Auditing & Fair ML Toolkit.,21.0,26,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,163.0,156.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,7.0,36850.0,36850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+487,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2024-04-26 20:02:09.000000,2024-04-26 20:02:08,844.0,7.0,133.0,29.0,89.0,40.0,75.0,601.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,26,True,2024-04-23 05:17:11.000,1.15.0,43.0,ml-metadata,,,,,485.0,454.0,https://pypi.org/project/ml-metadata,2024-04-23 05:17:11.000,31.0,84514.0,84549.0,,,,,,,,3.0,2209.0,,,,,,,,,,,,,,,,,,,
+488,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,214.0,22.0,17.0,46.0,23.0,425.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7716.0,7586.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,130.0,223618.0,224437.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,40172.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+489,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2024-05-22 08:39:18.000000,2024-05-15 16:50:06,2745.0,206.0,59.0,8.0,258.0,40.0,90.0,257.0,Python recommendation toolkit.,14.0,26,False,2024-02-16 21:04:30.000,0.14.4,25.0,lenskit,conda-forge/lenskit,,,,108.0,102.0,https://pypi.org/project/lenskit,2024-02-16 21:03:49.000,6.0,1760.0,2406.0,https://anaconda.org/conda-forge/lenskit,2024-04-18 13:51:51.378,27150.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+490,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2024-05-16 01:29:54.000000,2024-05-16 01:29:48,1619.0,1.0,808.0,146.0,1564.0,114.0,125.0,7966.0,Trax Deep Learning with Clear Code and Speed.,79.0,25,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,156.0,155.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,3820.0,3820.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+491,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2023-10-03 15:31:03.000000,2022-09-22 23:59:07,1084.0,,968.0,182.0,327.0,338.0,292.0,5783.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,126.0,126.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,393.0,441.0,,,,,,,,2.0,3745.0,,,,,,,,,,,,,,,,,,,
+492,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-04-26 02:38:27.000000,2023-11-19 13:26:15,334.0,,955.0,45.0,34.0,65.0,112.0,4997.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",20.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],206.0,197.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,9.0,3494.0,3494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+493,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2024-04-27 19:15:19.000000,2023-04-28 16:55:30,521.0,,444.0,62.0,93.0,36.0,88.0,4979.0,Finding duplicate images made easy!.,15.0,25,False,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],121.0,116.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,18946.0,18946.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+494,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-05-23 10:22:01.000000,2024-05-23 10:22:01,3563.0,108.0,604.0,93.0,3918.0,213.0,1377.0,4935.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,91.0,25,True,2024-05-07 16:55:22.000,1.37.1,78.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+495,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-01-16 11:28:25.000000,2022-08-23 22:54:23,1046.0,,982.0,240.0,215.0,51.0,200.0,4397.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,25,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,57.0,56.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,801.0,894.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3460.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+496,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-01-16 13:26:41.000000,2023-05-06 14:09:10,264.0,,430.0,42.0,52.0,88.0,174.0,4189.0,An Open-Source Framework for Prompt-Learning.,22.0,25,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,126.0,123.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,1134.0,1134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+497,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,513.0,135.0,649.0,65.0,198.0,3869.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,2787.0,2787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+498,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-05-23 08:03:04.000000,2024-05-23 08:03:04,2779.0,70.0,1207.0,135.0,1073.0,52.0,75.0,3314.0,a distributed deep learning platform.,91.0,25,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,3.0,3.0,,,,,68.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,745.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,6558.0,3.0,,,,,,,,,,,,,,,,,,,,
+499,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-05-20 22:24:28.000000,2024-05-20 22:24:17,466.0,3.0,271.0,50.0,459.0,59.0,256.0,3306.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,25,True,2024-03-08 20:24:53.000,0.4.11,24.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,4.0,,https://pypi.org/project/hummingbird-ml,2024-03-08 20:21:40.000,4.0,5318.0,6380.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-03-08 22:15:29.532,40000.0,,,,,2.0,502.0,,,,,,,,,,,,,,,,,,,
+500,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-04-22 17:11:22.000000,2024-03-30 09:25:51,4343.0,16.0,582.0,40.0,1002.0,251.0,692.0,3204.0,"A unified, comprehensive and efficient recommendation library.",71.0,25,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,3798.0,3912.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,4817.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+501,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2024-05-23 12:40:02.000000,2024-05-23 12:40:02,514.0,6.0,811.0,62.0,640.0,133.0,399.0,3201.0,A high-performance distributed training framework for Reinforcement Learning.,45.0,25,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],126.0,125.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,824.0,824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+502,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-01-20 00:01:11.000000,2024-01-20 00:01:11,1576.0,,246.0,29.0,2015.0,3.0,652.0,3020.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,35.0,25,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,13676.0,13767.0,,,,,,,,3.0,2645.0,,,,,,,,,,,,,,,,,,,
+503,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,663.0,73.0,25.0,117.0,101.0,2977.0,Neural network visualization toolkit for keras.,10.0,25,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2922.0,2921.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,1710.0,1710.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+504,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,471.0,97.0,49.0,59.0,253.0,2820.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,722.0,701.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,3525.0,3846.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,15800.0,,,,,3.0,993.0,,,,,,,,,,,,,,,,,,,
+505,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-04-22 23:07:16.000000,2023-06-30 21:16:10,470.0,,322.0,64.0,317.0,47.0,124.0,2794.0,DDSP: Differentiable Digital Signal Processing.,32.0,25,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],55.0,54.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,1698.0,2025.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,15381.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+506,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-05-21 12:48:00.000000,2024-05-06 14:20:38,944.0,6.0,173.0,20.0,78.0,95.0,174.0,2760.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,25,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,46.0,45.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,1645.0,1645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+507,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-11-01 10:12:46.000000,2022-10-05 16:26:03,376.0,,229.0,50.0,481.0,45.0,70.0,2725.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,228.0,225.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,25669.0,25670.0,,,,,,,,2.0,68.0,,,,,,,,,,,,,,,,,,,
+508,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2024-04-15 21:12:13.000000,2023-07-01 21:40:58,1936.0,,350.0,40.0,89.0,28.0,158.0,2511.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],3.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,3.0,1842.0,1842.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+509,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-02-10 12:55:47.000000,2023-07-23 14:42:27,191.0,,468.0,38.0,239.0,52.0,282.0,2499.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,25,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,36096.0,36325.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,6658.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+510,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,719.0,167.0,94.0,136.0,358.0,2456.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,25,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+511,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,1.0,236.0,64.0,31.0,60.0,95.0,2235.0,Fast and Easy Infinite Neural Networks in Python.,29.0,25,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,,102.0,101.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,2864.0,2872.0,,,,,,,,3.0,384.0,,,,,,,,,,,,,,,,,,,
+512,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-05-22 17:55:04.000000,2024-05-22 17:55:04,542.0,10.0,211.0,42.0,129.0,61.0,127.0,2194.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,28.0,25,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,3275.0,3275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+513,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-05-21 22:55:07.000000,2024-02-10 10:17:50,226.0,,252.0,48.0,95.0,20.0,115.0,2162.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,25,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",116.0,112.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,2423.0,2423.0,,,,,,,,3.0,,,,mckinsey/causalnex,,,,,,,,,,,,,,,,
+514,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2024-04-26 00:01:37.000000,2021-07-09 11:06:18,56.0,,496.0,42.0,25.0,66.0,38.0,2133.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,25,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],51.0,,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,80714.0,80946.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,11870.0,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,,
+515,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-06-20 17:42:42.000000,2023-06-20 17:42:34,12566.0,,85.0,41.0,47.0,14.0,75.0,2098.0,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,62.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,62.0,44161.0,44161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+516,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,239.0,71.0,21.0,93.0,66.0,2092.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,271.0,267.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,94725.0,94725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+517,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,303.0,57.0,1313.0,233.0,810.0,1821.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],106.0,102.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,4.0,744.0,744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+518,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2024-03-24 14:27:59.853000,2022-12-07 10:32:49,237.0,,293.0,1.0,1.0,1.0,,1703.0,Feature engineering package with sklearn like functionality.,38.0,25,False,2024-03-24 13:29:41.000,1.7.0,39.0,feature_engine,conda-forge/feature_engine,,,,147.0,,https://pypi.org/project/feature_engine,2024-03-24 13:29:41.000,147.0,131133.0,132200.0,https://anaconda.org/conda-forge/feature_engine,2024-03-24 14:27:59.853,48016.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+519,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2024-03-17 06:23:46.000000,2023-04-20 14:53:46,460.0,,238.0,49.0,49.0,23.0,91.0,1603.0,Contextually-keyed word vectors.,19.0,25,False,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,387.0,374.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,2311.0,4329.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,38170.0,,,,,3.0,65473.0,,,,,,,,,,,,,,,,,,,
+520,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2022-07-01 09:55:35.000000,2021-07-08 19:03:55,108.0,,205.0,44.0,12.0,4.0,51.0,1564.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],234.0,232.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,192763.0,192763.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+521,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,309.0,27.0,379.0,56.0,155.0,1559.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,25,True,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],57.0,56.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,686.0,686.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+522,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-11-29 15:04:03.000000,2023-08-12 06:34:27,161.0,,267.0,50.0,87.0,22.0,191.0,1546.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,25,True,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],585.0,568.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,17.0,6411.0,6557.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6895.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+523,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-01-04 20:19:39.000000,2024-01-04 20:19:39,950.0,,579.0,108.0,283.0,19.0,300.0,1513.0,Execute Python code on the fly and display results in Tableau visualizations:.,50.0,25,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,162.0,160.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,7793.0,7845.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4490.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+524,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-11-06 16:35:44.000000,2023-11-06 15:20:05,206.0,,330.0,51.0,43.0,96.0,,1342.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,25,True,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],481.0,473.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,46919.0,75093.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,314.0,,,,,3.0,1239357.0,,,,,,,,,,,,,,,,,,,
+525,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,142.0,28.0,63.0,7.0,70.0,1293.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],1471.0,1458.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,13550.0,13550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+526,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2024-01-05 18:00:58.000000,2024-01-05 18:00:58,67.0,,296.0,55.0,63.0,16.0,109.0,1244.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,25,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,1059.0,1048.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,11.0,10952.0,10952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+527,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-05-13 13:12:24.000000,2024-05-02 01:45:39,808.0,9.0,116.0,31.0,412.0,71.0,325.0,1022.0,BAyesian Model-Building Interface (Bambi) in Python.,37.0,25,True,2023-10-25 02:06:14.000,0.13.0,28.0,bambi,conda-forge/bambi,,,,132.0,122.0,https://pypi.org/project/bambi,2023-10-25 02:06:14.000,10.0,23094.0,23851.0,https://anaconda.org/conda-forge/bambi,2023-10-27 17:16:55.433,31058.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+528,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-05-16 20:20:11.437000,2024-05-16 13:11:43,2072.0,1.0,215.0,41.0,593.0,85.0,433.0,1018.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,25,False,2024-05-16 14:21:22.000,2.1.0,48.0,smac,conda-forge/smac,,,,33.0,,https://pypi.org/project/smac,2024-05-16 14:21:22.000,33.0,47180.0,47702.0,https://anaconda.org/conda-forge/smac,2024-05-16 20:20:11.437,19855.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+529,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2023-09-20 15:32:40.000000,2023-09-20 15:32:36,567.0,,191.0,48.0,61.0,1.0,68.0,976.0,Training neural models with structured signals.,38.0,25,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],451.0,448.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,17140.0,17140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+530,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-02-29 13:41:12.000000,2024-02-29 13:41:11,1144.0,2.0,236.0,61.0,246.0,22.0,367.0,960.0,Search and download Copernicus Sentinel satellite images.,44.0,25,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,587.0,556.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,31.0,20849.0,21537.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,29517.0,,,,,3.0,269.0,,,,,,,,,,,,,,,,,,,
+531,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,256.0,43.0,72.0,103.0,188.0,917.0,Gaussian Process Optimization using GPy.,50.0,25,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,547.0,510.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,5742.0,5742.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+532,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-08-27 04:36:31.000000,2021-02-11 16:40:18,279.0,,76.0,13.0,48.0,22.0,53.0,736.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,25,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,2078.0,2049.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,29.0,581801.0,581980.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,5558.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+533,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2024-01-05 08:05:26.000000,2024-01-05 08:05:26,564.0,,103.0,15.0,193.0,117.0,136.0,668.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",33.0,25,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,617.0,,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,617.0,3222146.0,3222296.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,18547.0,,,,,,,,,,,,,,,,,,,
+534,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-04-28 16:46:16.622000,2024-04-28 11:15:50,477.0,5.0,50.0,8.0,59.0,173.0,238.0,596.0,python binding for libvips using cffi.,16.0,25,True,2024-04-28 11:19:58.000,2.2.3,26.0,pyvips,conda-forge/pyvips,,,,791.0,718.0,https://pypi.org/project/pyvips,2024-04-28 11:19:58.000,73.0,44068.0,46024.0,https://anaconda.org/conda-forge/pyvips,2024-04-28 16:46:16.622,84126.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+535,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-04-10 07:37:43.190000,2022-01-15 18:08:37,1718.0,,67.0,15.0,13.0,35.0,7.0,538.0,Pure-Python full-text search library.,42.0,25,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,225.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,225.0,486897.0,493916.0,https://anaconda.org/conda-forge/whoosh,2024-04-10 07:37:43.190,252702.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+536,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-05-21 08:01:17.000000,2024-05-15 12:32:23,5658.0,65.0,92.0,15.0,757.0,16.0,438.0,428.0,Lightwood is Legos for Machine Learning.,46.0,25,False,2024-05-15 13:29:47.000,24.5.2.0,204.0,lightwood,,,,['pytorch'],62.0,60.0,https://pypi.org/project/lightwood,2024-05-15 13:37:20.000,2.0,7240.0,7240.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+537,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2024-05-07 21:17:52.000000,2024-02-11 00:53:13,766.0,,85.0,13.0,31.0,7.0,49.0,369.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,25,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,445.0,402.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,43.0,134348.0,135965.0,https://anaconda.org/conda-forge/pymap3d,2024-02-11 07:50:28.337,71151.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+538,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-05-21 10:43:30.000000,2024-05-21 10:37:24,549.0,21.0,56.0,40.0,300.0,20.0,60.0,300.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",41.0,25,True,2024-05-21 10:43:30.000,1.4.0,78.0,gokart,,,,,85.0,77.0,https://pypi.org/project/gokart,2024-05-21 10:43:30.000,8.0,2852.0,2852.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+539,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,800.0,168.0,1588.0,145.0,74.0,6348.0,A natural language modeling framework based on PyTorch.,234.0,24,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,,105.0,110.0,,,,,,,,3.0,358.0,,,,,,,,,,,,,,,,,,,
+540,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,136.0,43.0,141.0,98.0,4945.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1129.0,1113.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,676.0,688.0,,,,,,,,3.0,910.0,,,,,,,,,,,,,,,,,,,
+541,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-01-13 08:14:49.000000,2022-07-29 10:37:24,205.0,,1006.0,92.0,63.0,255.0,269.0,4626.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,24,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,25880.0,25880.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+542,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2024-03-12 11:21:52.000000,2021-06-02 09:45:13,150.0,,742.0,101.0,35.0,107.0,113.0,4522.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,24,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],129.0,124.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5264.0,5267.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,235.0,3.0,,,,,,,,,,,,,,,,,,,,
+543,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,724.0,62.0,247.0,129.0,824.0,4057.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,36.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,36.0,5776.0,5776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+544,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810.0,,917.0,177.0,385.0,33.0,430.0,3818.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+545,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,1.0,443.0,89.0,78.0,67.0,137.0,3354.0,Generate embeddings from large-scale graph-structured data.,32.0,24,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,600647.0,600649.0,,,,,,,,2.0,181.0,,,,,,,,,,,,,,,,,,,
+546,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,110.0,73.0,193.0,117.0,3078.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,142.0,130.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,834.0,895.0,,,,,,,,3.0,4584.0,,,,,,,,,,,,,,,,,,,
+547,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2024-03-13 21:11:32.000000,2024-03-13 21:09:44,767.0,1.0,362.0,91.0,548.0,144.0,92.0,2741.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,24,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,11.0,42653.0,42653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+548,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,137.0,28.0,200.0,20.0,73.0,2704.0,HiPlot makes understanding high dimensional data easy.,9.0,24,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,434.0,408.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,20018.0,23645.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,184994.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+549,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,318.0,92.0,2157.0,206.0,982.0,2678.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,1.0,16862.0,16862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+550,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,336.0,31.0,695.0,43.0,151.0,2531.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,98.0,94.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,750.0,750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+551,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,645.0,89.0,29.0,25.0,52.0,2336.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,652.0,600.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,52.0,35446.0,35446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+552,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,253.0,56.0,56.0,19.0,50.0,2203.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],700.0,681.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,6707.0,6707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+553,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-03-05 11:46:16.000000,2024-03-05 11:46:12,2314.0,7.0,236.0,38.0,38.0,13.0,114.0,2092.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,24,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,240.0,234.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,6.0,4146.0,4651.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,23265.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+554,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,669.0,82.0,48.0,24.0,64.0,2057.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,518.0,506.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,8457.0,8457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+555,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,203.0,29.0,65.0,11.0,83.0,1986.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],350.0,342.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,1297.0,1475.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,7133.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+556,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2024-05-13 12:34:46.000000,2023-12-04 14:09:45,571.0,,134.0,57.0,452.0,68.0,102.0,1847.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,29.0,24,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,112.0,102.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,10.0,3977.0,3977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+557,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,121.0,28.0,31.0,63.0,50.0,1575.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,24,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],455.0,448.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,129622.0,129622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+558,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-05-16 21:03:19.000000,2024-05-16 20:58:06,353.0,9.0,269.0,42.0,254.0,77.0,195.0,1468.0,A framework for Privacy Preserving Machine Learning.,35.0,24,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],37.0,36.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,315.0,315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+559,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,235.0,35.0,68.0,57.0,206.0,1229.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,24,True,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],128.0,126.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,865.0,869.0,,,,,,,,3.0,101.0,,,,,,,,,,,,,,,,,,,
+560,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2023-10-19 08:20:16.000000,2023-02-08 02:25:50,604.0,,205.0,54.0,460.0,143.0,293.0,1193.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,False,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],75.0,66.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,546.0,546.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+561,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-05-05 07:26:14.000000,2024-05-05 07:26:07,87.0,9.0,227.0,20.0,20.0,5.0,87.0,1183.0,Implementation of the node2vec algorithm.,15.0,24,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,644.0,617.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,27.0,28268.0,28659.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,28175.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+562,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,223.0,72.0,415.0,75.0,147.0,1155.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,172.0,167.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,718.0,718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+563,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,,114.0,12.0,23.0,18.0,15.0,1084.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,24,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,5684.0,5275.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,409.0,416838.0,416838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+564,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,174.0,48.0,112.0,53.0,170.0,972.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,319.0,296.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,986.0,986.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+565,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-05-19 05:55:47.946000,2024-04-29 15:05:22,732.0,3.0,145.0,16.0,105.0,31.0,240.0,962.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,24,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],103.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,103.0,25108.0,31241.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-05-19 05:55:47.946,288271.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+566,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,,110.0,26.0,36.0,34.0,69.0,878.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,24,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],625.0,613.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,24025.0,24025.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+567,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-05-21 08:03:11.000000,2024-05-14 09:36:49,344.0,15.0,134.0,19.0,82.0,3.0,66.0,867.0,An intuitive library to extract features from time series.,20.0,24,True,2024-03-27 17:12:39.000,0.1.7,11.0,tsfel,,,,,129.0,126.0,https://pypi.org/project/tsfel,2024-03-27 16:06:38.000,3.0,21994.0,21994.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+568,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-05-16 09:24:43.000000,2024-05-16 09:24:42,249.0,4.0,109.0,15.0,44.0,35.0,27.0,857.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,12.0,24,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,612.0,597.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,15.0,30510.0,42084.0,,,,,,,,3.0,486144.0,,,,,,,,,,,,,,,,,,,
+569,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,158.0,34.0,25.0,34.0,236.0,739.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,176.0,172.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,5331.0,5331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+570,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2024-03-07 03:49:45.000000,2024-03-07 03:49:45,400.0,2.0,155.0,17.0,72.0,35.0,108.0,703.0,Ternary plotting library for python with matplotlib.,27.0,24,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,199.0,169.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,30.0,37203.0,38041.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,81349.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,,
+571,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,136.0,132.0,91.0,42.0,67.0,653.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],204.0,194.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,10.0,14874.0,14874.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+572,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-05-17 14:30:32.000000,2024-05-17 14:29:47,873.0,17.0,84.0,10.0,736.0,92.0,439.0,611.0,Automated modeling and machine learning framework FEDOT.,33.0,24,True,2024-05-03 16:06:47.000,0.7.3.2,22.0,fedot,,,,,51.0,46.0,https://pypi.org/project/fedot,2024-05-03 15:56:33.000,5.0,1202.0,1202.0,,,,,,,,3.0,,,,aimclub/FEDOT,,,,,,,,,,,,,,,,
+573,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-03-09 00:32:37.185000,2024-03-08 20:01:01,3751.0,7.0,69.0,47.0,355.0,21.0,395.0,552.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,24,False,2024-03-08 20:13:23.000,5.0.1,71.0,skll,conda-forge/skll,,,['sklearn'],43.0,41.0,https://pypi.org/project/skll,2024-03-08 20:01:40.000,2.0,443.0,914.0,https://anaconda.org/conda-forge/skll,2024-03-09 00:32:37.185,14140.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,,
+574,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-04-09 13:42:05.705000,2024-04-03 15:41:01,407.0,9.0,134.0,20.0,46.0,3.0,84.0,548.0,Medical image processing in Python.,20.0,24,False,2024-04-03 15:53:56.000,0.5.1,9.0,MedPy,conda-forge/medpy,,,,1969.0,1921.0,https://pypi.org/project/MedPy,2024-04-03 15:53:56.000,48.0,18759.0,19586.0,https://anaconda.org/conda-forge/medpy,2024-04-09 13:42:05.705,28948.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+575,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,9.0,17.0,11.0,12.0,508.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],4569.0,4470.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,99.0,2681373.0,2690865.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,901784.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+576,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-02-19 07:00:31.744000,2024-02-18 18:51:38,532.0,,39.0,5.0,15.0,6.0,48.0,324.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,14.0,24,True,2024-02-18 18:57:32.000,0.9.0,25.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],753.0,707.0,https://pypi.org/project/scikit-posthocs,2024-02-18 18:57:32.000,46.0,84859.0,106510.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-02-19 07:00:31.744,931000.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,,
+577,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2024-05-12 10:24:37.000000,2023-02-15 20:15:59,196.0,,545.0,82.0,38.0,59.0,26.0,10870.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",16.0,23,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,48.0,48.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,798.0,887.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2508.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+578,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-06-16 18:03:39.000000,2023-03-04 05:19:44,2327.0,,606.0,145.0,1362.0,118.0,986.0,7996.0,Production infrastructure for machine learning at scale.,25.0,23,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,1180.0,1180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+579,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,,1379.0,261.0,69.0,115.0,136.0,6329.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+580,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2024-01-23 18:30:32.000000,2024-01-23 18:30:25,598.0,,740.0,104.0,588.0,107.0,345.0,5937.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,58.0,23,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,41376.0,41376.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+581,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-03-03 01:46:55.000000,2024-03-03 01:31:19,1096.0,1.0,924.0,114.0,675.0,146.0,542.0,5424.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,117.0,23,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],18.0,17.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,351.0,351.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+582,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-05-21 16:05:57.000000,2024-05-21 15:50:17,1604.0,45.0,817.0,146.0,1515.0,351.0,399.0,4988.0,Simple and Distributed Machine Learning.,118.0,23,True,2024-04-10 19:16:17.000,1.0.4-spark3.5,48.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+583,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2024-03-28 17:33:46.000000,2023-01-15 11:37:16,279.0,,935.0,111.0,101.0,148.0,351.0,4904.0,Backtest trading strategies in Python.,19.0,23,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,4.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,4.0,15564.0,15564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+584,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-05-22 08:48:09.000000,2024-03-11 13:23:01,3347.0,3.0,820.0,230.0,111.0,57.0,621.0,4884.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,23,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,21.0,,,,,,,,3.0,1506.0,,,,,,,,,,,,,,,,,,,
+585,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1370.0,351.0,59.0,51.0,,4308.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,184.0,184.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,508.0,508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+586,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-05-15 07:21:55.000000,2024-05-15 07:15:09,1598.0,7.0,514.0,150.0,609.0,86.0,75.0,3527.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",166.0,23,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+587,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,532.0,173.0,50.0,67.0,49.0,3472.0,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],60.0,58.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+588,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-05-19 22:21:30.000000,2024-05-19 22:15:20,687.0,3.0,489.0,214.0,16.0,24.0,4.0,3366.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,23,True,2024-05-19 22:21:30.000,0.11.14,15.0,finmarketpy,,,,,13.0,13.0,https://pypi.org/project/finmarketpy,2024-05-19 22:21:30.000,,305.0,305.0,,,,,,,,3.0,51.0,,,,,,,,,,,,,,,,,,,
+589,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,,223.0,54.0,36.0,75.0,123.0,3137.0,A GUI for Pandas DataFrames.,15.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],386.0,381.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,5.0,3270.0,3829.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,22378.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+590,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,237.0,42.0,110.0,80.0,64.0,2872.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,23,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,8315.0,8317.0,,,,,,,,3.0,123.0,,,,,,,,,,,,,,,,,,,
+591,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,413.0,131.0,136.0,60.0,128.0,2398.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],63.0,61.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,2473.0,2634.0,,,,,,,,3.0,12783.0,,,,,,,,,,,,,,,,,,,
+592,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,439.0,64.0,122.0,32.0,350.0,2379.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],65.0,63.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+593,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,299.0,66.0,78.0,65.0,68.0,2102.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],30.0,27.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1285.0,1285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+594,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,243.0,44.0,33.0,51.0,90.0,1942.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],172.0,172.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,3307.0,3307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+595,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2024-02-06 10:59:55.000000,2024-02-06 10:59:47,125.0,,228.0,42.0,36.0,45.0,24.0,1855.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,23,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],473.0,451.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,2306.0,3269.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,35646.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+596,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,245.0,53.0,446.0,6.0,402.0,1728.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,23,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],3.0,,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,1884.0,1975.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3401.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+597,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,116.0,38.0,11.0,33.0,51.0,1612.0,"A fast, efficient universal vector embedding utility package.",4.0,23,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,356.0,347.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,1160.0,1160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+598,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-03-05 07:56:07.000000,2024-03-05 07:56:07,582.0,2.0,302.0,56.0,115.0,54.0,30.0,1546.0,Interpretability and explainability of data and machine learning models.,41.0,23,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,89.0,88.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,630.0,630.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+599,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-05-23 14:10:39.000000,2023-11-08 21:41:55,157.0,,163.0,104.0,186.0,35.0,25.0,1498.0,fklearn: Functional Machine Learning.,55.0,23,True,2023-11-09 12:59:48.000,3.0.0,32.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2024-05-23 14:10:39.000,,600.0,600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+600,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,403.0,91.0,165.0,103.0,224.0,1357.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,23,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],42.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+601,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2024-03-18 13:56:39.000000,2022-08-31 13:13:15,103.0,,87.0,41.0,15.0,9.0,27.0,1327.0,A Graph Neural Network Library in Jax.,17.0,23,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],193.0,174.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,19.0,10588.0,10742.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,4775.0,,,,,3.0,,,,google-deepmind/jraph,,,,,,,,,,,,,,,,
+602,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2022-07-25 15:59:11.000000,2022-05-22 23:59:48,1219.0,,161.0,33.0,22.0,42.0,34.0,1273.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],61.0,61.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,799.0,799.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+603,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-05-15 00:02:07.000000,2024-04-10 03:25:54,547.0,11.0,128.0,21.0,270.0,12.0,132.0,1234.0,A standard framework for modelling Deep Learning Models for tabular data.,21.0,23,True,2024-01-15 12:17:19.000,1.1.0,12.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2024-01-15 02:46:25.000,2.0,4176.0,4176.0,,,,,,,,1.0,27.0,,,,,,,,,,,,,,,,,,,
+604,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-05-07 04:53:40.000000,2024-04-29 07:05:47,431.0,5.0,150.0,92.0,122.0,33.0,46.0,1150.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,23,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,111.0,110.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,347.0,347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+605,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-11-17 11:03:05.000000,2023-11-17 10:59:26,412.0,,184.0,34.0,73.0,3.0,86.0,1037.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],223.0,214.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,4462.0,4462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+606,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-03-29 10:21:35.000000,2023-03-29 07:39:45,85.0,,84.0,26.0,55.0,36.0,28.0,944.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,702.0,679.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,40107.0,41553.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,46295.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+607,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,149.0,23.0,46.0,15.0,82.0,914.0,kapre: Keras Audio Preprocessors.,13.0,23,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2404.0,2395.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,1269.0,1269.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,,
+608,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2024-03-14 21:28:06.000000,2024-02-01 21:38:56,330.0,,162.0,29.0,111.0,86.0,56.0,888.0,Source code/webpage/demos for the What-If Tool.,20.0,23,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,11.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,6.0,4226.0,51877.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2187409.0,,,,,3.0,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,1111.0,,,,,,,,,,,
+609,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,,84.0,14.0,77.0,220.0,218.0,859.0,"Experiment tracking, ML developer tools.",29.0,23,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,96.0,96.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,1150.0,1150.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,
+610,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2024-05-21 23:28:19.000000,2024-05-13 15:22:51,225.0,3.0,83.0,18.0,158.0,28.0,85.0,839.0,Bayesian active learning library for research and industrial usecases.,21.0,23,True,2024-04-04 17:31:05.000,1.9.2,20.0,baal,conda-forge/baal,,,,57.0,56.0,https://pypi.org/project/baal,2024-04-04 17:29:59.000,1.0,4606.0,4814.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,8322.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+611,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-05-20 17:06:25.000000,2024-05-20 17:04:15,293.0,7.0,249.0,46.0,18.0,10.0,91.0,830.0,Data compression in TensorFlow.,21.0,23,True,2024-03-27 19:52:35.000,2.16.0,25.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,11173.0,11173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+612,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2024-05-17 11:31:45.001000,2024-04-29 13:46:08,600.0,3.0,135.0,15.0,59.0,27.0,129.0,767.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,34.0,23,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],51.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,51.0,13384.0,15653.0,https://anaconda.org/conda-forge/pytorch_cluster,2024-05-17 11:31:45.001,108918.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+613,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,150.0,25.0,154.0,79.0,137.0,761.0,Google maps for Jupyter notebooks.,16.0,23,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],22.0,4.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,8305.0,12831.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,316954.0,,,,,3.0,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,753.0,,,,,,,,,,,
+614,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2024-03-15 12:50:01.000000,2018-12-04 14:43:25,32.0,,89.0,21.0,9.0,25.0,41.0,675.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],442.0,432.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,39496.0,39525.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,2920.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+615,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-05-02 14:24:25.000000,2024-05-02 14:23:46,346.0,3.0,85.0,7.0,20.0,1.0,91.0,557.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,23,True,2024-02-10 13:12:00.000,0.5.7,162.0,featurewiz,,,,,69.0,67.0,https://pypi.org/project/featurewiz,2024-02-10 13:12:00.000,2.0,8292.0,8292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+616,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-05-22 18:24:25.000000,2024-05-22 04:25:13,977.0,14.0,179.0,24.0,847.0,120.0,388.0,555.0,MONAI Label is an intelligent open source image labeling and learning tool.,59.0,23,True,2023-10-18 15:08:49.000,0.8.0,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,832.0,3289.0,,,,,,,,3.0,83561.0,,,,,,,,,,,,,,,,,,,
+617,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2024-05-11 10:46:51.000000,2024-05-11 10:43:02,331.0,11.0,99.0,26.0,7.0,1.0,33.0,500.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,23,True,2024-05-11 10:46:51.000,0.1.800,146.0,autoviml,,,,,28.0,25.0,https://pypi.org/project/autoviml,2024-05-11 10:46:51.000,3.0,2209.0,2209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+618,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-05-06 13:22:25.000000,2024-05-06 13:22:25,6709.0,1.0,144.0,36.0,395.0,37.0,136.0,373.0,Neuroimaging in Python FMRI analysis package.,69.0,23,False,2023-12-21 16:45:52.000,0.6.0,8.0,nipy,conda-forge/nipy,,,,247.0,226.0,https://pypi.org/project/nipy,2023-12-21 16:45:52.000,21.0,1895.0,3226.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,109218.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+619,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2024-02-25 19:17:18.000000,2024-02-25 19:17:13,576.0,1.0,83.0,29.0,318.0,75.0,27.0,368.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,23,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],403.0,396.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,47698.0,47698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+620,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-12-11 19:25:59.000000,2023-11-17 21:43:05,4051.0,,49.0,14.0,712.0,217.0,204.0,281.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,23,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,111.0,103.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,1482.0,1482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+621,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-05-12 00:09:57.000000,2024-04-22 13:58:48,483.0,57.0,105.0,19.0,510.0,58.0,124.0,260.0,An open-source toolkit for large-scale genomic analysis.,27.0,23,False,2024-03-12 08:52:09.000,2.0.0,16.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,41539.0,41645.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,4125.0,,,,,3.0,55.0,,,,,,,,,,,,,,,,,,,
+622,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,27.0,7.0,19.0,4.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,23,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2251.0,2207.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,102573.0,102573.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+623,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-05-02 04:54:25.000000,2021-06-13 00:22:13,176.0,,1704.0,19.0,17.0,72.0,24.0,5011.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,22,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,28.0,28.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,2751.0,2751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+624,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-02-14 12:21:00.000000,2022-08-09 13:26:32,565.0,,1228.0,306.0,209.0,64.0,211.0,4740.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1792.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143403.0,3.0,,,,,,,,,,,,,,,,,,,,
+625,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,158.0,130.0,83.0,101.0,4615.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,22,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],6.0,,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,518.0,518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+626,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,321.0,74.0,37.0,95.0,75.0,4378.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,51.0,51.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,327.0,327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+627,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-06-16 13:24:50.216000,2019-05-22 18:27:54,1118.0,,810.0,327.0,89.0,91.0,306.0,3870.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,98.0,121.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1890.0,,,,,3.0,384.0,,,,,,,,,,,,,,,,,,,
+628,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,675.0,74.0,53.0,179.0,101.0,3385.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],8.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,8.0,2948.0,2957.0,,,,,,,,3.0,562.0,,,,,,,,,,,,,,,,,,,
+629,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,1.0,328.0,53.0,414.0,82.0,106.0,3233.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],41.0,40.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+630,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,386.0,207.0,9.0,4.0,16.0,3141.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],148.0,146.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,1296.0,1296.0,,,,,,,,3.0,,,,google-deepmind/trfl,,,,,,,,,,,,,,,,
+631,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-05-20 23:57:09.000000,2021-05-06 12:10:38,127.0,,156.0,48.0,67.0,2.0,30.0,3021.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,50.0,50.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,407.0,460.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1506.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+632,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2024-05-07 08:59:07.000000,2024-04-08 05:25:46,3457.0,3.0,727.0,7.0,5.0,406.0,855.0,2606.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,22,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,,['spark'],1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,473.0,473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+633,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,78.0,144.0,36.0,126.0,2381.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],29.0,27.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+634,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,367.0,86.0,4.0,4.0,18.0,2174.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,22,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,48.0,48.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,1770.0,1770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+635,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-01-18 18:33:20.000000,2024-01-16 17:27:35,27.0,,102.0,37.0,30.0,29.0,79.0,1794.0,"A flexible, intuitive and fast forecasting library.",10.0,22,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,,30.0,30.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,10727.0,10727.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,,
+636,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,14.0,57.0,35.0,1773.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",281.0,270.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,4433.0,4433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+637,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,213.0,38.0,111.0,56.0,42.0,1707.0,"Large-scale linear classification, regression and ranking in Python.",17.0,22,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],158.0,152.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,2891.0,5147.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,210937.0,,,,,3.0,425.0,,,,,,,,,,,,,,,,,,,
+638,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,,203.0,38.0,7.0,15.0,33.0,1642.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,22,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],57.0,51.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,3310.0,3310.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+639,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,311.0,98.0,45.0,187.0,216.0,1638.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,9.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,939.0,939.0,,,,,,,,3.0,49.0,-2.0,,,,,,,,,,,,,,,,,,
+640,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,290.0,44.0,801.0,71.0,485.0,1612.0,jiant is an nlp toolkit.,60.0,22,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,3.0,3.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+641,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,,255.0,50.0,312.0,99.0,17.0,1559.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,22,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],3.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,3.0,46676.0,46676.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+642,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,3.0,207.0,56.0,52.0,78.0,149.0,1541.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,22,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,871.0,902.0,,,,,,,,3.0,2795.0,,,,,,,,,,,,,,,,,,,
+643,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-04-18 10:50:41.000000,2024-04-18 10:50:48,1196.0,6.0,116.0,26.0,68.0,4.0,29.0,1489.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,22,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,7484.0,7484.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,,
+644,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,181.0,31.0,86.0,16.0,32.0,1289.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,True,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,93.0,92.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,544.0,544.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+645,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,188.0,27.0,57.0,22.0,36.0,1276.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],165.0,160.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,709.0,709.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+646,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-05-22 17:18:53.000000,2024-05-22 17:18:49,834.0,1.0,326.0,51.0,795.0,10.0,300.0,1207.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,,1464.0,1464.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,
+647,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2024-05-13 01:48:48.000000,2024-05-13 01:47:40,189.0,5.0,109.0,37.0,25.0,17.0,116.0,1197.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2024-05-13 01:50:26.000,2.2.2,82.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,5553.0,5553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+648,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,215.0,66.0,29.0,31.0,12.0,1160.0,Anomaly Detection and Correlation library.,9.0,22,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,79.0,77.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,9304.0,9304.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+649,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-01-27 00:07:06.000000,2024-01-04 20:41:21,582.0,,294.0,96.0,121.0,62.0,97.0,1014.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],14.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,14.0,1736.0,2274.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,43655.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+650,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,110.0,52.0,98.0,41.0,51.0,1009.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],241.0,230.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,3306.0,3306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+651,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2024-02-13 05:58:29.000000,2024-02-13 05:55:37,305.0,,90.0,18.0,73.0,18.0,44.0,966.0,Audio processing by using pytorch 1D convolution network.,15.0,22,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,182.0,178.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,9899.0,9899.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+652,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,2.0,193.0,24.0,58.0,12.0,27.0,934.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,22,True,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,,['tensorflow'],92.0,84.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,5148.0,5148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+653,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-10-07 18:05:54.000000,2022-12-07 13:45:45,1234.0,,134.0,24.0,594.0,63.0,511.0,841.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,False,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,3077.0,3077.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+654,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,104.0,29.0,60.0,22.0,74.0,836.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,422.0,421.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,1998.0,1998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+655,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-05-23 12:09:23.000000,2024-05-14 10:29:23,1196.0,47.0,123.0,30.0,1004.0,37.0,50.0,757.0,Machine learning framework for both deep learning and traditional algorithms.,37.0,22,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,,,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+656,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,75.0,26.0,37.0,27.0,21.0,735.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,33.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,33.0,65128.0,65128.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,,
+657,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2024-05-06 14:08:02.000000,2023-09-19 18:44:18,355.0,,118.0,18.0,79.0,24.0,34.0,688.0,Working with molecular structures in pandas DataFrames.,15.0,22,True,2023-08-28 15:31:05.000,0.5.1de,20.0,biopandas,conda-forge/biopandas,,,['pandas'],271.0,248.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,51026.0,52739.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,152513.0,,,,,3.0,,,,BioPandas/biopandas,,,,,,,,,,,,,,,,
+658,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2023-06-16 19:26:00.374000,2019-10-30 09:27:48,189.0,,81.0,21.0,12.0,,38.0,685.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,443.0,438.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,12709.0,12764.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1984.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+659,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,,68.0,25.0,433.0,10.0,237.0,633.0,torchbearer: A model fitting library for PyTorch.,14.0,22,True,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],91.0,87.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,650.0,650.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+660,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,110.0,26.0,23.0,57.0,35.0,605.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,454.0,431.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,23.0,9408.0,9869.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,18911.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+661,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2023-11-18 04:12:38.000000,2021-01-30 21:50:02,249.0,,129.0,22.0,19.0,8.0,30.0,588.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],159.0,154.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,11525.0,11525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+662,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2024-03-21 11:25:40.000000,2021-12-19 09:41:43,133.0,,57.0,10.0,21.0,14.0,37.0,545.0,Joyplots in Python with matplotlib & pandas.,8.0,22,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,395.0,386.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,14629.0,15043.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,25698.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+663,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-05-16 19:00:04.000000,2024-03-19 15:52:03,1216.0,2.0,65.0,7.0,210.0,18.0,109.0,508.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,22,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],257.0,252.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2658.0,2658.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+664,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2024-05-05 16:01:33.000000,2024-05-05 16:01:32,1771.0,64.0,69.0,7.0,216.0,47.0,81.0,506.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,20.0,22,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,27.0,26.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,718.0,723.0,,,,,,,,3.0,153.0,,,,,,,,,,,,,,,,,,,
+665,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2024-05-17 17:10:37.000000,2024-05-17 17:08:49,2279.0,5.0,41.0,12.0,11.0,8.0,52.0,493.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,22,True,2024-05-17 16:42:37.000,4.6.1,76.0,hyperactive,,,,,42.0,29.0,https://pypi.org/project/hyperactive,2024-05-17 16:42:37.000,13.0,2936.0,2938.0,,,,,,,,3.0,139.0,2.0,,,,,,,,,,,,,,,,,,
+666,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,5.0,105.0,13.0,130.0,18.0,138.0,473.0,A Python library for dynamic classifier and ensemble selection.,17.0,22,True,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,,['sklearn'],50.0,47.0,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,1193.0,1193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+667,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2024-04-14 12:59:12.000000,2023-03-05 00:16:57,419.0,,99.0,36.0,276.0,71.0,173.0,471.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,22,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,77.0,75.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1384.0,1387.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,,
+668,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2024-02-08 01:53:44.000000,2024-02-08 01:48:49,168.0,,48.0,17.0,2.0,11.0,3.0,373.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,22,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,521.0,513.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,8.0,13504.0,13504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+669,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2024-04-27 16:26:42.000000,2024-04-27 16:26:42,258.0,7.0,27.0,9.0,5.0,22.0,60.0,317.0,Multiple Imputation with LightGBM in Python.,8.0,22,True,2023-11-16 02:24:03.000,5.7.0,45.0,miceforest,conda-forge/miceforest,,,,141.0,136.0,https://pypi.org/project/miceforest,2023-11-16 02:24:03.000,5.0,43691.0,44065.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,12724.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,
+670,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2024-04-18 12:38:22.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,42.0,8.0,10.0,285.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,22,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",18.0,16.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,443987.0,443987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+671,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,12.0,9.0,4.0,12.0,231.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,1139.0,1083.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,56.0,102403.0,103839.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,61777.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+672,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,1.0,2312.0,149.0,89.0,256.0,286.0,12946.0,End-to-End Object Detection with Transformers.,27.0,21,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+673,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-05-09 19:10:29.000000,2020-04-18 19:15:25,24.0,,1138.0,142.0,45.0,39.0,10.0,8509.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,21,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],52.0,49.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,986.0,986.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+674,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-10-28 10:19:07.000000,2023-10-28 10:19:07,763.0,,645.0,94.0,150.0,98.0,103.0,8359.0,The user analytics platform for LLMs.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,712.0,712.0,,,,,,,,3.0,,,,nebuly-ai/nebuly,,,,,,,,,,,,,,,,
+675,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-12-22 07:27:57.000000,2023-10-19 02:11:57,190.0,,1170.0,94.0,48.0,391.0,284.0,6318.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,21,True,,,1.0,pyslowfast,,,,['pytorch'],16.0,16.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+676,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,781.0,223.0,25.0,8.0,122.0,5329.0,Build Graph Nets in Tensorflow.,11.0,21,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],22.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,2.0,1002.0,1002.0,,,,,,,,3.0,,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,,
+677,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2024-05-20 22:36:46.000000,2023-08-15 07:38:22,956.0,,542.0,166.0,47.0,37.0,28.0,4320.0,High-performance TensorFlow library for quantitative finance.,47.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,2.0,579.0,579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+678,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,165.0,120.0,22.0,112.0,2931.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+679,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,327.0,73.0,2.0,18.0,7.0,2910.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],202.0,199.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,1320.0,1320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+680,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,,237.0,61.0,106.0,27.0,56.0,2112.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,21,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],18.0,18.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1190.0,1190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+681,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,251.0,53.0,35.0,16.0,105.0,2063.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,9924.0,9924.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+682,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-01-30 02:43:49.000000,2023-08-10 17:09:47,309.0,,159.0,23.0,33.0,32.0,31.0,1922.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],29.0,28.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,330.0,491.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4618.0,,,,,3.0,94.0,,,,,,,,,,,,,,,,,,,
+683,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-01-30 11:59:18.000000,2024-01-30 11:58:43,345.0,,341.0,42.0,68.0,163.0,95.0,1846.0,Super easy library for BERT based NLP models.,36.0,21,True,2024-01-30 11:59:18.000,2.0.25,71.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,2024-01-30 11:59:18.000,,1096.0,1096.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+684,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-04-22 13:05:03.000000,2024-02-04 20:37:53,1083.0,,272.0,30.0,40.0,27.0,176.0,1791.0,A library for graph deep learning research.,50.0,21,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,473.0,473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+685,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-04-09 15:16:39.000000,2024-04-09 15:16:39,371.0,1.0,150.0,18.0,71.0,19.0,39.0,1700.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,17.0,21,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],23.0,23.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,1237.0,1237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+686,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2023-02-11 12:08:00.000000,2022-11-13 04:54:45,1941.0,,197.0,30.0,423.0,11.0,163.0,1651.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+687,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2024-04-19 09:46:18.000000,2020-12-17 06:57:15,932.0,,292.0,66.0,202.0,5.0,74.0,1584.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,12.0,230.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13117.0,3.0,,,,,,,,,,,,,,,,,,,,
+688,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-06-16 19:17:34.578000,2023-03-23 14:35:34,422.0,,278.0,71.0,728.0,51.0,64.0,1584.0,An end-to-end PyTorch framework for image and video classification.,77.0,21,False,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,586.0,971.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,20044.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+689,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,140.0,102.0,150.0,21.0,20.0,1551.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,21.0,21.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,,1230.0,1230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+690,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,272.0,65.0,51.0,23.0,75.0,1479.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,35.0,35.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,297.0,297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+691,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-04-17 19:59:55.000000,2024-04-17 19:59:46,779.0,6.0,182.0,18.0,262.0,77.0,94.0,1285.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,21,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,56126.0,56126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+692,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,220.0,63.0,48.0,36.0,90.0,1263.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],34.0,34.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,,328.0,328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+693,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,204.0,28.0,61.0,52.0,61.0,1069.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,123.0,121.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,2.0,476.0,481.0,,,,,,,,3.0,608.0,,,,,,,,,,,,,,,,,,,
+694,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,250.0,47.0,46.0,26.0,127.0,1059.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+695,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2024-01-21 21:15:50.000000,2023-08-18 11:01:23,442.0,,210.0,53.0,86.0,64.0,207.0,1023.0,Line based ATR Engine based on OCRopy.,20.0,21,True,2023-08-18 11:50:18.000,1.0.6,41.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,2023-08-18 11:50:18.000,5.0,2177.0,2177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+696,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,169.0,56.0,14.0,30.0,19.0,1021.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,176.0,174.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,896.0,1133.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,8555.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+697,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-05-01 04:05:18.000000,2024-04-25 03:40:02,286.0,103.0,53.0,13.0,59.0,5.0,19.0,912.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",14.0,21,True,2024-04-25 03:41:41.000,3.0.2,34.0,uform,,,,['pytorch'],7.0,6.0,https://pypi.org/project/uform,2024-04-25 03:41:41.000,1.0,1089.0,1106.0,,,,,,,,3.0,267.0,,,,,,,,,,,,,,,,,,,
+698,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,76.0,6.0,5.0,4.0,23.0,831.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,21,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],449.0,437.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,12.0,33032.0,33032.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+699,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,160.0,38.0,46.0,43.0,49.0,800.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,100.0,91.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,550.0,550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+700,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,,78.0,26.0,162.0,51.0,62.0,761.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,21,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],57.0,53.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,677.0,677.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+701,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,144.0,25.0,19.0,26.0,5.0,738.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,21,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],633.0,625.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,47715.0,47892.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,7624.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+702,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-05-21 08:40:24.000000,2024-03-27 18:40:09,1505.0,2.0,80.0,34.0,661.0,22.0,118.0,698.0,Scikit-learn style model finetuning for NLP.,23.0,21,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",13.0,11.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,204.0,204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+703,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-04-28 01:04:18.000000,2024-04-25 13:16:31,491.0,1.0,110.0,33.0,558.0,206.0,246.0,694.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,21,True,2024-01-15 02:09:18.000,23.12.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,8548.0,8548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+704,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,106.0,30.0,1.0,14.0,3.0,635.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",641.0,624.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,18652.0,18652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+705,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,54.0,29.0,12.0,13.0,15.0,631.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,204.0,196.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,16511.0,16511.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+706,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,19.0,216.0,49.0,313.0,599.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,61.0,60.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,291.0,291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+707,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,95.0,26.0,32.0,35.0,6.0,592.0,machine learning with logical rules in Python.,19.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],391.0,383.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,23060.0,23060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+708,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,28.0,31.0,5.0,24.0,565.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,49.0,47.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1633.0,1633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+709,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2024-05-22 11:57:09.000000,2023-12-29 21:08:41,477.0,,57.0,26.0,9.0,17.0,37.0,523.0,Active Learning for Text Classification in Python.,6.0,21,True,2023-12-29 21:23:01.000,1.3.3,20.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",28.0,28.0,https://pypi.org/project/small-text,2023-12-29 21:17:11.000,,652.0,926.0,https://anaconda.org/conda-forge/small-text,2023-12-29 21:40:00.838,6037.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+710,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,27.0,9.0,9.0,2.0,9.0,406.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,21,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],1398.0,1392.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,205620.0,205620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+711,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-09-06 17:29:29.000000,2023-09-06 17:29:29,2412.0,,52.0,24.0,231.0,57.0,195.0,380.0,Studio: Simplify and expedite model building process.,24.0,21,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,900.0,900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+712,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-05-18 03:50:45.535000,2024-05-01 02:14:09,660.0,2.0,65.0,30.0,457.0,22.0,91.0,371.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,21,True,2023-07-18 13:09:18.000,4.0.0,40.0,vega,conda-forge/vega,,,['jupyter'],18.0,4.0,https://pypi.org/project/vega,2023-04-12 02:09:01.110,14.0,18527.0,30856.0,https://anaconda.org/conda-forge/vega,2024-05-18 03:50:45.535,591825.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+713,TimeSide,Parisson/TimeSide,audio,,https://github.com/yomguy/TimeSide,https://github.com/yomguy/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-10-24 10:20:08.000000,2023-02-01 10:38:52,3728.0,,60.0,28.0,110.0,33.0,184.0,367.0,scalable audio processing framework and server written in Python.,22.0,21,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,17.0,17.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,235.0,235.0,,,,,,,,3.0,,2.0,,yomguy/TimeSide,,,,,,,,,,,,,,,,
+714,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,49.0,11.0,37.0,29.0,37.0,349.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,249.0,233.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,3826.0,3826.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+715,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,33.0,18.0,6.0,19.0,21.0,306.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,21,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],98.0,97.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,1.0,1413.0,1413.0,,,,,,,,3.0,,,,google-deepmind/launchpad,,,,,,,,,,,,,,,,
+716,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-05-23 13:09:08.000000,2024-05-23 13:09:08,661.0,17.0,14.0,24.0,350.0,44.0,84.0,296.0,Serverside scaling for Vega and Altair visualizations.,4.0,21,False,2024-05-09 19:19:11.000,1.6.9,75.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-09 19:01:07.000,2.0,1001.0,6262.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-05-10 13:02:13.580,125631.0,,,,,3.0,5114.0,,,vega/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,248.0,,,,,,,,,,,
+717,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-05-22 08:47:49.000000,2024-05-22 08:44:26,738.0,37.0,24.0,5.0,283.0,6.0,,291.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,12.0,21,False,2024-05-22 08:47:49.000,1.1.288,719.0,upgini,,,,,6.0,6.0,https://pypi.org/project/upgini,2024-05-22 08:47:49.000,,8272.0,8272.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+718,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-05-21 04:33:27.096000,2024-01-18 11:58:51,626.0,,68.0,28.0,31.0,30.0,113.0,263.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,1426.0,3542.0,https://anaconda.org/conda-forge/somoclu,2024-05-21 04:33:27.096,90288.0,,,,,3.0,1915.0,,,,,,,,,,,,,,,,,,,
+719,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-05-02 05:10:26.000000,2023-07-02 18:02:16,1462.0,,45.0,15.0,182.0,21.0,64.0,241.0,Python Implementation and Extension of RDF2Vec.,7.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,43.0,41.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,375.0,375.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+720,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,475.0,85.0,180.0,108.0,161.0,3575.0,A high performance and generic framework for distributed DNN training.,21.0,20,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,50.0,72.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1333.0,3.0,,,,,,,,,,,,,,,,,,,,
+721,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,99.0,16.0,53.0,17.0,3391.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,152.0,145.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,861.0,861.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+722,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,318.0,59.0,242.0,174.0,111.0,3111.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,20.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,3173.0,3185.0,,,,,,,,3.0,677.0,,,,,,,,,,,,,,,,,,,
+723,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,170.0,65.0,54.0,6.0,44.0,3079.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,False,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,225.0,225.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,,
+724,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-04-02 17:52:52.000000,2021-06-15 18:41:51,22.0,,268.0,31.0,22.0,27.0,37.0,3047.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1841.0,1841.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+725,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,398.0,101.0,54.0,64.0,48.0,2918.0,Quickly search over billions of images.,20.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,2.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,2.0,1271.0,1271.0,,,,,,,,3.0,,,,rhsimplex/image-match,,,,,,,,,,,,,,,,
+726,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,332.0,101.0,1000.0,94.0,263.0,2826.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+727,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,827.0,85.0,30.0,45.0,80.0,2650.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,69.0,69.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,638.0,638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+728,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,455.0,127.0,225.0,87.0,183.0,2312.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+729,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,178.0,55.0,895.0,129.0,586.0,1908.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",50.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,18.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1020.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+730,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,157.0,46.0,3.0,13.0,15.0,1533.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],27.0,27.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,2331.0,2331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+731,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-05-08 15:24:36.000000,2024-02-25 11:49:35,1255.0,2.0,124.0,31.0,164.0,71.0,142.0,1512.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",24.0,20,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,135.0,146.0,,,,,,,,3.0,499.0,,,,,,,,,,,,,,,,,,,
+732,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,356.0,61.0,47.0,37.0,72.0,1478.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,20,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],38.0,32.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+733,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,405.0,102.0,36.0,13.0,24.0,1421.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+734,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,101.0,40.0,13.0,14.0,9.0,1268.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,145.0,143.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,3110.0,3110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+735,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-01-14 08:39:28.000000,2020-04-17 02:27:44,79.0,,142.0,25.0,76.0,49.0,36.0,1031.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,20,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,5.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,5.0,252619.0,252780.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,8073.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+736,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184.0,52.0,12.0,16.0,42.0,1005.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],84.0,80.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+737,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,132.0,36.0,16.0,8.0,4.0,925.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3629.0,3624.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,620.0,620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+738,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-06-10 14:57:37.569000,2023-06-05 01:35:02,228.0,,129.0,18.0,24.0,28.0,39.0,826.0,python partial dependence plot toolbox.,7.0,20,True,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,22550.0,22902.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,20451.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+739,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,126.0,30.0,29.0,21.0,34.0,763.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],44.0,44.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,564.0,564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+740,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,148.0,36.0,33.0,25.0,39.0,758.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,106.0,106.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,838.0,838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+741,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2023-03-30 20:05:58.000000,2019-11-15 21:43:53,221.0,,158.0,79.0,98.0,51.0,43.0,751.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,10632.0,10632.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+742,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2024-05-05 11:51:57.000000,2024-05-05 11:51:05,300.0,5.0,108.0,17.0,25.0,1.0,87.0,680.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,20,True,2024-05-05 11:51:57.000,0.0.92,39.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,9172.0,9172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+743,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-04-03 18:32:28.000000,2021-09-16 17:56:31,171.0,,144.0,34.0,82.0,16.0,55.0,619.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],23.0,20.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,538.0,538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+744,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2023-07-28 19:05:13.000000,2022-02-09 16:35:40,142.0,,105.0,23.0,25.0,43.0,61.0,608.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],172.0,170.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1568.0,1680.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3946.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+745,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2023-06-16 16:12:33.889000,2022-06-08 03:46:02,305.0,,104.0,10.0,14.0,5.0,16.0,575.0,Make Waffle Charts in Python.,6.0,20,False,2022-06-08 03:10:36.000,1.1.0,27.0,pywaffle,conda-forge/pywaffle,,,,368.0,362.0,https://pypi.org/project/pywaffle,2022-06-08 03:10:36.000,6.0,7749.0,7933.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,11967.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+746,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,97.0,15.0,53.0,13.0,15.0,559.0,A library of metrics for evaluating recommender systems.,20.0,20,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,52.0,52.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,18757.0,18757.0,,,,,,,,3.0,6.0,,,,,,,,,,,,,,,,,,,
+747,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,167.0,56.0,20.0,39.0,60.0,545.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,30.0,29.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+748,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,,57.0,60.0,9.0,25.0,25.0,533.0,Python library assists deep learning on graphs.,18.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,101.0,99.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,333.0,333.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,,
+749,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2024-03-30 13:25:33.000000,2024-03-30 13:25:33,69.0,5.0,51.0,18.0,9.0,12.0,10.0,496.0,Topological Data Analysis for Python.,6.0,20,True,2024-03-17 19:09:40.000,1.1.0,5.0,scikit-tda,,,,['sklearn'],55.0,55.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,3150.0,3150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+750,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-11-17 16:30:15.000000,2021-11-18 21:06:54,172.0,,46.0,9.0,9.0,11.0,21.0,490.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,121.0,113.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,6332.0,6332.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,,
+751,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2024-02-04 00:13:12.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,223.0,15.0,40.0,487.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,20,True,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",22.0,20.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,14857.0,14860.0,,,,,,,,3.0,149.0,,,,,,,,,,,,,,,,,,,
+752,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,108.0,20.0,57.0,26.0,21.0,485.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,69.0,61.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,2445.0,2445.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+753,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-12-26 14:50:12.000000,2023-12-26 14:50:08,383.0,,100.0,18.0,9.0,6.0,41.0,445.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,20,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,53.0,53.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,2914.0,2914.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+754,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,83.0,20.0,247.0,10.0,23.0,404.0,A toolkit that streamlines and automates the generation of model cards.,22.0,20,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,24.0,23.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1450.0,1450.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,,
+755,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-05-15 11:09:46.000000,2024-05-15 11:06:29,819.0,6.0,25.0,7.0,76.0,30.0,22.0,371.0,Flexible time series feature extraction & processing.,6.0,20,True,2024-04-04 10:31:07.000,0.4.0,37.0,tsflex,conda-forge/tsflex,,,,14.0,13.0,https://pypi.org/project/tsflex,2024-04-04 10:23:01.000,1.0,396.0,1032.0,https://anaconda.org/conda-forge/tsflex,2024-04-08 09:54:58.786,21626.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+756,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-04-26 21:27:16.000000,2024-04-26 20:31:49,327.0,8.0,77.0,25.0,345.0,26.0,9.0,333.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,20,True,2024-04-26 21:27:16.000,0.46.0,31.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2024-04-26 21:27:16.000,,1179.0,1179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+757,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2024-03-27 12:25:36.647000,2024-03-27 08:46:27,190.0,11.0,41.0,19.0,3.0,10.0,8.0,282.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,20,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,,['pandas'],9.0,9.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,577.0,4843.0,https://anaconda.org/conda-forge/deepgraph,2024-03-27 12:25:36.647,183453.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+758,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2024-05-17 19:12:15.000000,2024-05-16 21:59:57,520.0,27.0,57.0,14.0,85.0,13.0,35.0,249.0,Represent trained machine learning models as Pyomo optimization formulations.,17.0,20,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,17044.0,17044.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+759,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-02-10 16:41:21.000000,2024-02-10 16:41:20,438.0,,192.0,61.0,7.0,13.0,29.0,1072.0,Python AutoML for Trading Systems and Sports Betting.,5.0,19,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,185.0,185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+760,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,139.0,17.0,11.0,41.0,43.0,1059.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],134.0,129.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,3692.0,3692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+761,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,14.0,24.0,58.0,69.0,851.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,99.0,98.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,345.0,345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+762,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,227.0,30.0,38.0,41.0,21.0,838.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,,3336.0,3336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+763,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2024-01-16 09:19:50.000000,2024-01-16 09:12:58,32.0,,81.0,14.0,35.0,3.0,23.0,805.0,Leave One Feature Out Importance.,6.0,19,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,32.0,28.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,4079.0,4079.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+764,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-10-03 19:59:49.000000,2023-08-29 06:49:30,294.0,,69.0,23.0,47.0,16.0,17.0,793.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],26.0,21.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,5.0,951.0,1848.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,24230.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+765,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2023-04-23 10:08:18.000000,2020-04-25 18:37:42,198.0,,102.0,26.0,48.0,19.0,35.0,729.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,28.0,26.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,334.0,334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+766,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,13.0,22.0,564.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,20.0,19,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,35.0,31.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,279.0,279.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+767,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2023-07-09 16:15:44.000000,2023-07-09 16:09:49,767.0,,63.0,17.0,111.0,8.0,48.0,560.0,A simplified framework and utilities for PyTorch.,20.0,19,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],140.0,135.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,3833.0,3833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+768,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-02-21 14:38:09.000000,2024-02-21 14:09:04,30.0,,68.0,7.0,5.0,4.0,29.0,538.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,19,True,2024-02-21 14:38:09.000,0.2.7,10.0,shap-hypetune,,,,,17.0,15.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,1295.0,1295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+769,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,139.0,58.0,72.0,18.0,71.0,523.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,19,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,19.0,19.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+770,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-10-04 01:35:07.000000,2023-09-04 05:41:43,372.0,,97.0,28.0,21.0,37.0,12.0,467.0,A python library for Bayesian time series modeling.,6.0,19,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,35.0,33.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,21486.0,21486.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+771,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,32.0,16.0,148.0,39.0,66.0,466.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",48.0,48.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,335.0,335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+772,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,79.0,24.0,12.0,48.0,49.0,414.0,optimization routines for hyperparameter tuning.,9.0,19,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,3.0,,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,4223.0,4223.0,,,,,,,,3.0,93.0,-2.0,,,,,,,,,,,,,,,,,,
+773,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,70.0,24.0,48.0,15.0,19.0,400.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,19,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,4587.0,5019.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,32869.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+774,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-11-09 23:19:49.000000,2023-11-09 23:18:48,634.0,,43.0,13.0,63.0,4.0,56.0,319.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,2.0,1510.0,1510.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+775,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,27.0,22.0,239.0,24.0,25.0,299.0,Textpipe: clean and extract metadata from text.,29.0,19,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+776,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,20.0,18.0,464.0,90.0,76.0,234.0,Functional tensors for probabilistic programming.,11.0,19,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],77.0,67.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,4483.0,4483.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+777,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,428.0,426.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,1038.0,1042.0,,,,,,,,3.0,380.0,,,,,,,,,,,,,,,,,,,
+778,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2023-05-01 07:53:03.000000,2023-05-01 07:50:02,24.0,,23.0,8.0,11.0,5.0,9.0,210.0,A Python module to convert natural language numerics into ints and floats.,4.0,19,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,81.0,79.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,2.0,23578.0,23578.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+779,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-04-24 21:09:41.000000,2024-04-24 21:09:38,861.0,3.0,17.0,8.0,182.0,11.0,23.0,151.0,Toolkit for developing and maintaining ML models.,14.0,19,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,8974.0,8974.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+780,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,765.0,339.0,58.0,2.0,,6695.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,94.0,101.0,,,,,,,,3.0,341.0,,,,,,,,,,,,,,,,,,,
+781,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,891.0,111.0,51.0,46.0,160.0,6232.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+782,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-05-22 12:09:32.000000,2024-05-22 12:09:27,693.0,33.0,403.0,39.0,836.0,149.0,115.0,3046.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,81.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+783,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,412.0,106.0,83.0,67.0,48.0,2945.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,102.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8543.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+784,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2023-03-03 23:59:33.000000,2022-05-24 23:48:09,791.0,,71.0,25.0,1004.0,127.0,65.0,1641.0,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,688.0,688.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+785,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,175.0,22.0,20.0,16.0,30.0,1614.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,5.0,5.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,120.0,120.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,,
+786,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,254.0,56.0,65.0,8.0,31.0,1370.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,2.0,2.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+787,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,156.0,44.0,5.0,4.0,7.0,1066.0,XAI - An eXplainability toolbox for machine learning.,3.0,18,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,27.0,27.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,,348.0,348.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+788,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,176.0,18.0,42.0,22.0,59.0,893.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,18,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,177.0,174.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,381.0,573.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,8651.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+789,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,188.0,33.0,15.0,18.0,22.0,783.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],14.0,13.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,1.0,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+790,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,57.0,15.0,10.0,25.0,17.0,756.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,18,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,48.0,48.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,2646.0,2646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+791,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,17.0,21.0,29.0,50.0,674.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,18,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+792,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-10-01 08:59:57.840000,2021-04-11 07:50:00,405.0,,29.0,18.0,42.0,6.0,18.0,592.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,12.0,11.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,263.0,48175.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2108158.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+793,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,68.0,13.0,10.0,23.0,41.0,542.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,49.0,49.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,965.0,965.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+794,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,92.0,24.0,19.0,5.0,20.0,458.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],12.0,12.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+795,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-02-08 01:27:56.000000,2023-01-13 21:57:34,832.0,,55.0,,,,,431.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,18,False,2024-02-08 01:27:56.000,0.12.1,49.0,sklearn-evaluation,,,,['sklearn'],3.0,,https://pypi.org/project/sklearn-evaluation,2024-02-08 01:27:56.000,3.0,2778.0,2778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+796,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-05-22 17:14:10.000000,2024-01-10 08:10:55,2818.0,,63.0,11.0,255.0,9.0,109.0,427.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,18,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+797,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,,105.0,72.0,7.0,15.0,19.0,423.0,semantic similarity framework for knowledge graph.,10.0,18,True,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,46.0,46.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,332.0,332.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+798,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2023-06-16 16:14:07.121000,2020-10-05 06:14:18,178.0,,38.0,10.0,29.0,17.0,17.0,405.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,62.0,58.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,4.0,183.0,393.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,13280.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+799,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,1.0,38.0,12.0,1.0,2.0,80.0,400.0,Deep Learning PyTorch.,1.0,18,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,296.0,296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+800,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,61.0,8.0,12.0,11.0,18.0,380.0,TextAugment: Text Augmentation Library.,8.0,18,True,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,98.0,94.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4562.0,4563.0,,,,,,,,3.0,69.0,,,,,,,,,,,,,,,,,,,
+801,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,8.0,18,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],15.0,13.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+802,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,52.0,11.0,60.0,17.0,41.0,329.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,40.0,36.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+803,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2024-04-30 19:01:14.000000,2023-11-27 22:11:53,398.0,,129.0,34.0,323.0,81.0,130.0,324.0,Brain Imaging Analysis Kit.,35.0,18,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,,104.0,122.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1829.0,3.0,,,,,,,,,,,,,,,,,,,,
+804,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,79.0,19.0,93.0,30.0,18.0,314.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,18,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",11.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,11.0,2183.0,2183.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,,
+805,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2024-05-19 13:43:01.000000,2023-03-28 03:38:13,1094.0,,70.0,28.0,58.0,30.0,32.0,291.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,18,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,45.0,48.0,,,,,,,,3.0,174.0,,,,,,,,,,,,,,,,,,,
+806,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2023-07-17 13:39:53.000000,2022-07-12 07:44:31,366.0,,19.0,6.0,31.0,20.0,39.0,262.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,55.0,52.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,555.0,555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+807,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2024-03-21 11:20:10.000000,2024-03-21 11:20:09,585.0,1.0,33.0,24.0,638.0,21.0,128.0,239.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,18,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-08-10 10:30:37.000,,1010.0,1030.0,,,,,,,,3.0,1023.0,,,,,,,,,,,,,,,,,,,
+808,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2024-03-20 15:29:38.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,60.0,31.0,47.0,235.0,Scikit-learn compatible estimation of general graphical models.,7.0,18,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],18.0,14.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+809,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2023-07-28 07:11:13.000000,2019-03-06 20:41:09,5.0,,57.0,5.0,2.0,2.0,1.0,130.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,9278.0,9092.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,186.0,357724.0,357758.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+810,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1346.0,467.0,21.0,58.0,167.0,7036.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,google-deepmind/lab,,,,,,,,,,,,,,,,
+811,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,,1055.0,119.0,24.0,17.0,352.0,4261.0,An Open-Source Package for Neural Relation Extraction (NRE).,13.0,17,True,,,,,,,,,3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+812,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,988.0,63.0,13.0,44.0,25.0,3605.0,Implementation and experiments of graph embedding algorithms.,9.0,17,False,,,,,,,,['sklearn'],32.0,32.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+813,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,462.0,79.0,36.0,83.0,68.0,1680.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+814,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,255.0,52.0,13.0,20.0,13.0,1540.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,65.0,86.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1688.0,3.0,,,,,,,,,,,,,,,,,,,,
+815,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,57.0,34.0,22.0,13.0,1267.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,17,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+816,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,144.0,17.0,11.0,25.0,18.0,1157.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],56.0,54.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,377.0,377.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+817,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,93.0,34.0,72.0,31.0,30.0,1096.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,17,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,8056.0,8056.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+818,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,111.0,19.0,58.0,2.0,13.0,750.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,False,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,4275.0,4275.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,,
+819,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36.0,12.0,13.0,8.0,16.0,750.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],36.0,36.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2515.0,2612.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,3008.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+820,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,,87.0,25.0,4.0,39.0,42.0,688.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,17,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+821,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-12-21 13:50:16.000000,2023-12-21 13:50:13,819.0,,41.0,15.0,18.0,,20.0,595.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,17,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,16.0,16.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+822,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-05-19 15:53:53.000000,2024-05-08 20:14:15,683.0,2.0,71.0,30.0,80.0,15.0,25.0,399.0,A Python implementation of active inference for Markov Decision Processes.,15.0,17,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,9.0,9.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,380.0,380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+823,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-03-01 15:54:36.000000,2024-01-15 19:35:42,191.0,,53.0,10.0,17.0,10.0,29.0,394.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,17,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,1361.0,1361.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,,
+824,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,30.0,11.0,121.0,31.0,150.0,345.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+825,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2024-05-17 15:10:11.000000,2024-05-17 15:10:11,420.0,2.0,76.0,22.0,433.0,27.0,51.0,268.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,17,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,2.0,2.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,115.0,115.0,,,,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,,
+826,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,8.0,44.0,229.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,27.0,25.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+827,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-04-01 22:09:11.000000,2024-03-02 11:17:16,371.0,1.0,38.0,6.0,133.0,,35.0,224.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,1663.0,1772.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,3058.0,,,,,3.0,,,,aniketmaurya/chitra,,,,,,,,,,,,,,,,
+828,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,,12.0,8.0,2.0,,5.0,193.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,17,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+829,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,531.0,176.0,110.0,56.0,149.0,3921.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+830,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,167.0,61.0,10.0,26.0,6.0,1842.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,36.0,36.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,,
+831,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,109.0,20.0,37.0,20.0,8.0,1040.0,Distributed Computing for AI Made Simple.,5.0,16,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,71.0,70.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+832,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2024-04-26 17:46:05.000000,2021-04-16 18:50:54,57.0,,121.0,50.0,22.0,15.0,9.0,835.0,A medical imaging framework for Pytorch.,8.0,16,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],16.0,16.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+833,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,57.0,18.0,7.0,,10.0,797.0,MADGRAD Optimization Method.,2.0,16,False,,,4.0,madgrad,,,,['pytorch'],80.0,79.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,5143.0,5143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+834,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,113.0,27.0,10.0,25.0,51.0,786.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1633.0,1633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+835,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,87.0,16.0,15.0,10.0,22.0,722.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],17.0,17.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,302.0,302.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+836,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,124.0,42.0,435.0,25.0,130.0,707.0,GPU accelerated signal processing.,46.0,16,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+837,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,100.0,24.0,101.0,37.0,84.0,702.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,1.0,130.0,136.0,,,,,,,,3.0,420.0,,,,,,,,,,,,,,,,,,,
+838,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,92.0,18.0,19.0,3.0,29.0,630.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,16,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,15.0,15.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+839,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,,98.0,38.0,106.0,12.0,51.0,552.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,12.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,111.0,114.0,,,,,,,,3.0,225.0,,,vaticle/typedb-ml,,,,,,,,,,,,,,,,
+840,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-03-18 22:30:20.000000,2024-03-18 22:30:15,140.0,3.0,42.0,21.0,169.0,5.0,64.0,467.0,A collection of tools for neural compression enthusiasts.,10.0,16,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+841,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,36.0,47.0,5.0,12.0,407.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,3.0,2.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+842,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,15.0,39.0,2.0,13.0,395.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],10.0,10.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+843,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,32.0,23.0,21.0,17.0,10.0,345.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,87.0,87.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+844,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,52.0,25.0,19.0,15.0,17.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,16,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],,,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2448.0,2448.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+845,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,11.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],14.0,14.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,707.0,707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+846,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,29.0,5.0,5.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],27.0,27.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,2912.0,2912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+847,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,43.0,1.0,,,,196.0,Pytorch framework for doing deep learning on point clouds.,29.0,16,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,991.0,991.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+848,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2024-04-08 15:16:55.000000,2024-04-08 15:03:47,262.0,2.0,31.0,11.0,199.0,21.0,75.0,194.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",12.0,16,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],1.0,,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,611.0,611.0,,,,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,,
+849,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,13.0,54.0,16.0,50.0,134.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,57.0,52.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+850,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2024-05-22 10:04:57.000000,,,,,,,,,,Supercharging Machine Learning.,,16,True,2024-05-22 10:04:57.000,3.42.1,286.0,comet_ml,comet_ml,,,,68.0,,https://pypi.org/project/comet_ml,2024-05-22 10:04:57.000,68.0,657399.0,657399.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+851,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,140.0,28.0,217.0,102.0,2876.0,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,6.0,6.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+852,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,423.0,144.0,72.0,12.0,53.0,2199.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+853,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-04-03 18:25:21.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,22.0,42.0,85.0,1272.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+854,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,230.0,39.0,40.0,73.0,34.0,1140.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+855,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-02-27 22:17:46.000000,2024-02-05 15:11:35,743.0,,118.0,28.0,111.0,14.0,25.0,1071.0,An autoML framework & toolkit for machine learning on graphs.,15.0,15,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+856,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,116.0,19.0,295.0,3.0,69.0,1057.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,15,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,6.0,6.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,2.0,2.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+857,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,203.0,42.0,667.0,28.0,27.0,817.0,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+858,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,39.0,24.0,4.0,4.0,2.0,677.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],7.0,5.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+859,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,56.0,16.0,83.0,18.0,49.0,575.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,False,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+860,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,88.0,21.0,18.0,22.0,2.0,510.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,11.0,11.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,205.0,205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+861,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-05-16 17:54:39.000000,2024-01-25 16:57:26,261.0,,67.0,19.0,100.0,19.0,15.0,488.0,"Research workflows made easy, locally and in the Cloud.",10.0,15,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,,,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+862,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-04-21 03:30:12.000000,2024-04-21 03:30:09,79.0,3.0,61.0,16.0,64.0,6.0,9.0,438.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,9.0,9.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+863,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,56.0,18.0,6.0,6.0,,392.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,10.0,9.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,36.0,170.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,6204.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+864,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2024-02-25 19:50:49.000000,2024-02-25 19:50:49,174.0,2.0,38.0,22.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+865,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,307.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],26.0,26.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,188.0,188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+866,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,19.0,13.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,703.0,703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+867,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-05-12 20:02:22.000000,2024-05-12 19:43:50,153.0,45.0,11.0,8.0,15.0,2.0,7.0,261.0,A Jax-based library for designing and training transformer models from scratch.,3.0,15,False,,,6.0,nanodl,,,,['jax'],,,https://pypi.org/project/nanodl,2024-05-12 20:02:22.000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+868,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,16.0,7.0,2.0,13.0,229.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,6.0,5.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,247.0,247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+869,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,27.0,10.0,15.0,6.0,4.0,222.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],9.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,9.0,920.0,920.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+870,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,19.0,5.0,2.0,17.0,23.0,188.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,15,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],12.0,12.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,590.0,590.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+871,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-01-09 19:00:03.000000,2024-01-09 18:05:38,305.0,,9.0,5.0,3.0,1.0,,129.0,Data Analysis Baseline Library.,24.0,15,False,2023-02-28 01:21:03.335,0.2.5,17.0,dabl,,,,['sklearn'],1.0,,https://pypi.org/project/dabl,2024-01-09 18:32:27.000,1.0,5411.0,5411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+872,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2024-02-21 16:29:12.000000,2023-03-31 15:44:32,231.0,,20.0,32.0,53.0,7.0,7.0,105.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,15,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],41.0,41.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+873,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-11-21 22:24:51.000000,2018-09-19 19:27:00,59.0,,827.0,78.0,34.0,116.0,59.0,3321.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+874,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,,488.0,67.0,26.0,10.0,97.0,1678.0,An Open-Source Package for Network Embedding (NE).,12.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+875,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2023-06-16 16:16:18.265000,2021-01-14 02:18:46,15.0,,149.0,32.0,,53.0,59.0,1194.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,False,,,4.0,,milagraph/graphvite,,,,,,,,,,82.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4702.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+876,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,425.0,1868.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,66382.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+877,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-03-26 16:48:56.000000,2024-01-29 19:20:57,64.0,,43.0,11.0,9.0,4.0,12.0,705.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,14,True,,,,rliable`,,,,,134.0,134.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+878,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,,67.0,19.0,177.0,87.0,16.0,403.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,14,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+879,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,40.0,12.0,17.0,2.0,5.0,373.0,A PyTorch Graph Neural Network Library.,8.0,14,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+880,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,37.0,11.0,8.0,10.0,3.0,341.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1300.0,1300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+881,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,12.0,16.0,14.0,5.0,4.0,242.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,14,False,2021-04-20 13:53:12.000,0.1.2,14.0,backprop,,,,,2.0,2.0,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,270.0,270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+882,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,32.0,8.0,72.0,31.0,8.0,233.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+883,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,,984.0,102.0,28.0,28.0,356.0,3730.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+884,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,486.0,109.0,12.0,39.0,8.0,2689.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+885,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,82.0,50.0,4.0,3.0,,2483.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1675.0,1677.0,,,,,,,,3.0,59.0,,,,,,,,,,,,,,,,,,,
+886,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,178.0,38.0,10.0,13.0,3.0,1346.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+887,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 19:00:02.000000,2020-05-28 17:31:53,465.0,,17.0,11.0,57.0,3.0,20.0,291.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+888,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,28.0,8.0,6.0,8.0,8.0,246.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,13,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+889,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-01-09 14:26:49.000000,2024-01-09 14:26:42,74.0,,25.0,8.0,16.0,4.0,6.0,193.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+890,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,35.0,14.0,18.0,27.0,18.0,122.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+891,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,12.0,7.0,20.0,3.0,,50.0,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,33.0,33.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+892,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-03-28 08:06:49.000000,2022-02-09 22:20:11,9.0,,464.0,93.0,21.0,52.0,15.0,3262.0,AutoML algorithms for model architecture search at scale.,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+893,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,400.0,63.0,6.0,62.0,17.0,1842.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+894,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,316.0,87.0,11.0,12.0,6.0,1704.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+895,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,53.0,17.0,3.0,2.0,1.0,530.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+896,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-04-24 13:48:16.000000,2022-11-21 12:12:41,1044.0,,12.0,6.0,26.0,1.0,2.0,258.0,Maze Applied Reinforcement Learning Framework.,3.0,12,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,62.0,68.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,242.0,3.0,8.0,,,,,,,,,,,,,,,,,,,
+897,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,27.0,21.0,44.0,1.0,5.0,199.0,An automatic ML model optimization tool.,11.0,12,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+898,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,126.0,Experiment tracking for machine and deep learning projects.,3.0,12,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,137.0,147.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,661.0,3.0,,,,,,,,,,,,,,,,,,,,
+899,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,119.0,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+900,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,,13.0,12.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,43.0,43.0,,,,,,,,3.0,,,,genixpro/hypermax,,,,,,,,,,,,,,,,
+901,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,8.0,4.0,5.0,14.0,101.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,738.0,738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+902,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,11.0,13.0,26.0,4.0,13.0,85.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,128.0,128.0,,,,,,,,3.0,,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,,
+903,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,84.0,"An intelligent, flexible grammar of machine learning.",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+904,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,,12.0,12.0,17.0,,,42.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2024-02-04 11:31:27.000,0.0.13,12.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+905,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,32.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,12,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+906,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,111.0,45.0,13.0,7.0,20.0,947.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+907,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,146.0,39.0,7.0,19.0,14.0,916.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+908,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,21.0,12.0,41.0,7.0,12.0,365.0,A library for distributed ML training with PyTorch.,6.0,11,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+909,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,25.0,16.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,11,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+910,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-02-28 09:09:14.000000,2023-11-24 19:47:45,314.0,,7.0,7.0,126.0,7.0,9.0,107.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,11,False,2023-11-24 19:49:33.000,0.2.7,9.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+911,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,82.0,17.0,5.0,4.0,12.0,573.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+912,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,50.0,15.0,13.0,14.0,11.0,501.0,Library for Textless Spoken Language Processing.,8.0,10,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+913,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,9.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+914,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+915,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,144.0,Python package to generate stock portfolios.,4.0,8,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
+916,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,6.0,7.0,,1.0,,67.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,24.0,24.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,,
diff --git a/latest-changes.md b/latest-changes.md
index 861a6a5..2fa7ee7 100644
--- a/latest-changes.md
+++ b/latest-changes.md
@@ -2,29 +2,29 @@
_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._
-- transformers (π₯52 Β· β 130K Β· π) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- scikit-learn (π₯52 Β· β 58K Β· π) - scikit-learn: machine learning in Python. BSD-3
-- XGBoost (π₯45 Β· β 26K Β· π) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2
-- StatsModels (π₯45 Β· β 9.6K Β· π) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- Tokenizers (π₯40 Β· β 8.5K Β· π) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- Fiona (π₯38 Β· β 1.1K Β· π) - Fiona reads and writes geographic data files. BSD-3
-- imgaug (π₯37 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
-- Coqui TTS (π₯36 Β· β 30K Β· π) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0
-- ivy (π₯36 Β· β 14K Β· π) - The Unified AI Framework. Apache-2
-- YouTokenToMe (π₯23 Β· β 940 Β· π) - Unsupervised text tokenizer focused on computational efficiency. MIT
+- scipy (π₯51 Β· β 13K Β· π) - Ecosystem of open-source software for mathematics, science, and.. BSD-3
+- Altair (π₯42 Β· β 9K Β· π) - Declarative statistical visualization library for Python. BSD-3
+- Faiss (π₯40 Β· β 29K Β· π) - A library for efficient similarity search and clustering of dense vectors. MIT
+- MONAI (π₯36 Β· β 5.4K Β· π) - AI Toolkit for Healthcare Imaging. Apache-2
+- ColossalAI (π₯34 Β· β 38K Β· π) - Making large AI models cheaper, faster and more accessible. Apache-2
+- datashader (π₯34 Β· β 3.2K Β· π) - Quickly and accurately render even the largest data. BSD-3
+- tinygrad (π₯33 Β· β 24K Β· π) - You like pytorch? You like micrograd? You love tinygrad!. MIT
+- scikit-surprise (π₯29 Β· β 6.2K Β· π) - A Python scikit for building and analyzing recommender.. BSD-3
+- Hyperactive (π₯22 Β· β 490 Β· π) - An optimization and data collection toolbox for convenient and.. MIT
+- TimeSide (π₯21 Β· β 370 Β· π) - scalable audio processing framework and server written in.. βοΈAGPL-3.0
## π Trending Down
_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._
-- Matplotlib (π₯48 Β· β 19K Β· π) - matplotlib: plotting with Python. βUnlicensed
-- jax (π₯45 Β· β 28K Β· π) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- speechbrain (π₯38 Β· β 8K Β· π) - A PyTorch-based Speech Toolkit. Apache-2
-- CuPy (π₯37 Β· β 7.8K Β· π) - NumPy & SciPy for GPU. MIT
-- metrics (π₯35 Β· β 2K Β· π) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2
-- TF-Agents (π₯28 Β· β 2.7K Β· π) - TF-Agents: A reliable, scalable and easy to use.. Apache-2
-- Pytorch Toolbelt (π₯22 Β· β 1.5K Β· π) - PyTorch extensions for fast R&D prototyping and.. MIT
-- Vulkan Kompute (π₯21 Β· β 1.5K Β· π) - General purpose GPU compute framework built on Vulkan.. Apache-2
-- TimeSide (π₯19 Β· β 370 Β· π) - scalable audio processing framework and server written in.. βοΈAGPL-3.0
-- OpenKE (π₯13 Β· β 3.7K Β· π) - An Open-Source Package for Knowledge Embedding (KE). βUnlicensed
+- StatsModels (π₯44 Β· β 9.6K Β· π) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+- PyMC3 (π₯40 Β· β 8.2K Β· π) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2
+- Rasa (π₯39 Β· β 18K Β· π) - Open source machine learning framework to automate text- and.. Apache-2
+- Jina (π₯38 Β· β 20K Β· π) - Build multimodal AI applications with cloud-native stack. Apache-2
+- NeuralProphet (π₯30 Β· β 3.7K Β· π) - NeuralProphet: A simple forecasting package. MIT
+- mtcnn (π₯25 Β· β 2.1K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT
+- auto_ml (π₯22 Β· β 1.6K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
+- optunity (π₯19 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
+- PipelineDP (π₯17 Β· β 270 Β· π) - PipelineDP is a Python framework for applying differentially.. Apache-2
+- celer (π₯16 Β· β 190 Β· π) - Fast solver for L1-type problems: Lasso, sparse Logisitic.. BSD-3