Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
- reinforcement-learning
- deep-learning
- pytorch
- pytorch-reinforcement-learning
47,133 repositories indexed
961–984 of 1,352 · Most stars
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
A collection of deep learning based methods for HDR image synthesis
Learn a codebase by re-deriving its design decisions yourself. A Claude Code skill.
ilastik-shell, applets, and workflows to string them together.
Scikit-learn for Recursive Self-improvement (RSI). A modular framework for recursive harness evolution.
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Reference mapping for single-cell genomics
Support for jupyter notebook templates in jupyterlab
A NodeSchool style workshopper for learning how to write native Node.js addons
A dataset of millions of news articles scraped from a curated list of data sources.
A curated list of resources for learning about the Laravel PHP Framework
🎆 A visualization of the CapsNet layers to better understand how it works
A Naive Bayes machine learning implementation in Elixir.
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Trident-ML : A realtime online machine learning library
TranslatedLearning machine learning and quantitative analysis, in progress
A Tool for Automatic Analysis of Malware Behavior
Deep Reinforcement Learning for de-novo Drug Design
High-performance Bayesian Data Analysis on the GPU in Clojure
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
A list of resources about deep learning solutions on 3D shape processing
Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
A list of Neural MT implementations