An opinionated list of awesome Python frameworks, libraries, software and resources.

All Algorithms implemented in Python

Magnificent app which corrects your previous console command.

A curated list of awesome Machine Learning frameworks, libraries and software.

A toolkit for developing and comparing reinforcement learning algorithms.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Graph Neural Network Library for PyTorch

A list of all named GANs!

pix2tex: Using a ViT to convert images of equations into LaTeX code.

The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Keras implementations of Generative Adversarial Networks.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Pytorch implementation of convolutional neural network visualization techniques

Deep Reinforcement Learning for Keras.

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Collection of generative models in Tensorflow

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

A library of reinforcement learning components and agents

TensorFlow Reinforcement Learning

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Algorithms for explaining machine learning models

Graph Neural Networks with Keras and Tensorflow 2.

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

A library for graph deep learning research

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

ML models and internal tensors 3D visualizer