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The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run
Computational framework for reinforcement learning in traffic control
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Scalable, event-driven, deep-learning-friendly backtesting library
PettingZoo and Gymnasium bindings for popular reinforcement learning environments outside of Farama
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Zentral is a control plane for secure, observable Apple endpoints in enterprises. Configure, observe, and enforce the desired state of every Apple endpoint. Manage that desired state as code through GitOps and Terraform.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
[ICRA] Crowd-aware Robot Navigation
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
A curated list of Monte Carlo tree search papers with implementations.
🦍 Memorilla: Latent Semantic Memory for LLMs
An OpenAI gym wrapper for CARLA simulator
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Official repository for the paper “RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution”
Maze Applied Reinforcement Learning Framework
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.