Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
Repository Index
47,133 repositories indexed
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TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
- deep-reinforcement-learning
- reinforcement-learning
- dqn
- ppo
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
- simulation
- robotics
- kinematics
- virtual-reality
Python Implementation of Reinforcement Learning: An Introduction
Open-source simulator for autonomous driving research.
- simulator
- autonomous-vehicles
- autonomous-driving
- research
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
- reinforcement-learning
- reinforcement-learning-algorithms
- machine-learning
- gym
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
- machine-learning
- deep-learning
- deep-neural-networks
- pattern-recognition
Agent S: the state-of-the-art open source computer use agents
- agent-computer-interface
- ai-agents
- computer-automation
- gui-agents
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
An educational resource to help anyone learn deep reinforcement learning.
A mighty CSS linter that helps you avoid errors and enforce conventions.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
- machine-learning
- experiment-track
- deep-learning
- keras
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
An elegant PyTorch deep reinforcement learning library.
- pytorch
- policy-gradient
- dqn
- double-dqn
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
- sagemaker
- aws
- reinforcement-learning
- machine-learning
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
Reinforcement learning resources curated
TensorFlow Tutorials with YouTube Videos
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
- ai
- deep-reinforcement-learning
- wpa-psk
- handshakes
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
- c-plus-plus
- machine-learning
- online-learning
- contextual-bandits
Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.
- claude-code
- reliability
- agent-reliability
- hooks