awesome-python-data-science

A library of reinforcement learning components and agents.

PyTorch framework for RL research.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG).

An offline deep reinforcement learning library.

OpenDILab Decision AI Engine.

A research framework for fast prototyping of reinforcement learning algorithms.

Tools for adaptive and parallel samping of mathematical functions.

Fast NumPy array functions written in C.

NumPy-like API accelerated with CUDA.

Parallel computing with task scheduling.

Solve automatic numerical differentiation problems in one or more variables.

A fast numerical expression evaluator for NumPy that comes with an integrated computing virtual machine to speed calculations up by avoiding memory allocation for intermediate results.

Bias and Fairness Audit Toolkit.

Interpretability and explainability of data and machine learning models.

Algorithms for monitoring and explaining machine learning models.

Code for "High-Precision Model-Agnostic Explanations" paper.

Auralisation of learned features in CNN (for audio).

A visualization of the CapsNet layers to better understand how it works.

Fairness metrics for datasets and ML models, explanations, and algorithms to mitigate bias in datasets and models.

Algorithms for outlier, adversarial and drift detection.

Machine learning evaluation metric.

Fast image augmentation library and easy-to-use wrapper around other libraries.

Image augmentation library in Python for machine learning.

An efficient video loader for deep learning with smart shuffling that's super easy to digest.

Image augmentation for machine learning experiments.

Additional augmentations for imgaug.

Industry-strength Computer Vision workflows with Keras.

allRank is a framework for training learning-to-rank neural models based on PyTorch.

A Python implementation of LightFM, a hybrid recommendation algorithm.

Performance analysis of predictive (alpha) stock factors.

Declarative statistical visualization library for Python. Can easily do many data transformation within the code to create graph

A python package for animating plots built on matplotlib.

Interactive Web Plotting for Python.

Plotting library for IPython/Jupyter notebooks

Python library that makes it easy for data scientists to create charts.