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🔖 internet dungeon

3 Updated Sep 6, 2024

Long list of geospatial tools and resources

4,273 630 Updated Dec 3, 2024

🌐 List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

Python 746 82 Updated Jan 1, 2025

A curated list of the most important and useful resources about elasticsearch: articles, videos, blogs, tips and tricks, use cases. All about Elasticsearch!

4,915 561 Updated Jan 7, 2025

NeuSpell: A Neural Spelling Correction Toolkit

Python 681 103 Updated Jul 31, 2023

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

HTML 1,398 120 Updated Dec 27, 2024
Jupyter Notebook 3 Updated Sep 24, 2020

An introduction to data science in Python, for people with no programming experience.

Jupyter Notebook 405 138 Updated Dec 4, 2024

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Jupyter Notebook 5,725 3,035 Updated Jan 20, 2025

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

2,836 290 Updated Mar 17, 2023

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

Jupyter Notebook 1,496 412 Updated Sep 24, 2022

Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))

Python 113 38 Updated Dec 18, 2021

Basic LRP implementation in PyTorch

Jupyter Notebook 167 52 Updated Jul 25, 2024

Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

Jupyter Notebook 1,443 744 Updated Oct 15, 2023

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

Jupyter Notebook 900 277 Updated Jul 30, 2024
Python 2 1 Updated Mar 24, 2023

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

27,553 3,707 Updated Jul 18, 2024

Code for SuDoRm-Rf networks for efficient audio source separation. SuDoRm-Rf stands for SUccessive DOwnsampling and Resampling of Multi-Resolution Features which enables a more efficient way of sep…

Jupyter Notebook 313 34 Updated Jul 6, 2023

Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.

Jupyter Notebook 603 371 Updated Feb 22, 2021

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

Jupyter Notebook 1,185 548 Updated Apr 4, 2024

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Jupyter Notebook 22,565 15,295 Updated Dec 22, 2023

Code repository for O'Reilly book

Jupyter Notebook 2,864 1,790 Updated Jan 7, 2025

Python Data Science Handbook: full text in Jupyter Notebooks

Jupyter Notebook 43,661 18,020 Updated Jun 26, 2024

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

Jupyter Notebook 1,441 677 Updated Aug 11, 2020

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

HTML 727 237 Updated Nov 9, 2023

Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

Python 130 34 Updated Aug 22, 2020

ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning

Python 2,259 312 Updated Sep 26, 2022
Java 1 Updated Jun 11, 2018

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax pr…

Jupyter Notebook 174 43 Updated Mar 23, 2023

Imitation learning with Python

Python 5 2 Updated Jan 7, 2019
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