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Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Python 160 18 Updated Feb 17, 2025

[VLDB 2022] Dash application for "Navigating the Labyrinth of Time Series Anomaly Detection"

Python 23 2 Updated Mar 20, 2023

[VLDB 2023] Model Selection for Anomaly Detection in Time Series

Jupyter Notebook 32 5 Updated Oct 3, 2024

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experiment…

Python 23 2 Updated Jan 31, 2025

Self-explanatory tutorials for different model-agnostic and model-specific XAI methods

Jupyter Notebook 56 22 Updated Feb 11, 2025

Package management made easy

Rust 3,875 222 Updated Feb 18, 2025

small game project in se tutorial

Python 1 2 Updated Dec 19, 2024

An open access book on scientific visualization using python and matplotlib

Python 10,820 995 Updated Jan 22, 2024

A cat(1) clone with wings.

Rust 51,156 1,282 Updated Feb 15, 2025

Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems

Python 22 4 Updated Jun 2, 2024

Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems

R 61 8 Updated Apr 3, 2023

Search Trajectory Networks

R 28 10 Updated Jan 7, 2024

Surrogate benchmarks for HPO problems

Jupyter Notebook 27 4 Updated Feb 4, 2025

Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)

Jupyter Notebook 231 82 Updated Nov 13, 2021

Jupyter/IPython notebooks about evolutionary computation.

Jupyter Notebook 250 100 Updated May 10, 2017

Distributed Evolutionary Algorithms in Python

Python 5,975 1,143 Updated Jan 9, 2025

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based random optimizers, pattern search,…

Python 224 36 Updated Feb 12, 2025

Repository for SEN12MS related codes and utilities

Jupyter Notebook 103 19 Updated Jul 25, 2024

Jian Kang, Ruben Fernandez-Beltran, Danfeng Hong, Jocelyn Chanussot, Antonio Plaza. Graph Relation Network: Modeling Relations between Scenes for Multi-Label Remote Sensing Image Classification and…

Python 2 1 Updated Sep 10, 2020

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

3,707 644 Updated Jul 14, 2022

Deep Learning for Satellite Imagery

Python 210 66 Updated Jul 12, 2023

Local search for NAS

Python 18 2 Updated Nov 3, 2020
Python 67 14 Updated Nov 5, 2020

Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"

Python 76 12 Updated Apr 12, 2021

Official Matplotlib cheat sheets

Python 7,398 899 Updated Dec 11, 2024

Acceptance rates for the major AI conferences

Jupyter Notebook 4,378 307 Updated Jan 24, 2025

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Python 3,225 433 Updated Jun 25, 2023

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

Python 213 56 Updated Feb 18, 2025

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Python 9,813 1,762 Updated Feb 17, 2025

intro and exploration of gaussian processes

Jupyter Notebook 3 1 Updated Nov 30, 2018
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