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rohitg00/ai-engineering-from-scratch
Learn it. Build it. Ship it for others.
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Explore 19 GitHub repositories focused on reinforcement-learning. Discover top-starred projects and those trending this week.
Learn it. Build it. Ship it for others.
[Up-to-date] A curated list of resources on graph-empowered agents and agent-facilitated graph learning (Graphs Meet Agents & Agentic Graph Engineering).
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, FLUX and more.
《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码
The absolute trainer to light up AI agents.
Infrastructure for continually self‑improving agents
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
🦞 Just talk to your agent — it learns and EVOLVES 🧬.
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, FLUX and more.
Learn it. Build it. Ship it for others.
《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码
The absolute trainer to light up AI agents.
Infrastructure for continually self‑improving agents
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
🦞 Just talk to your agent — it learns and EVOLVES 🧬.
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research
Awesome Reasoning LLM Tutorial/Survey/Guide
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
🐝 The First Self-Improving agents with RL / Prompting Optimization
UniRL is a Framework for Unified Multimodal Model Reinforcement Learning
A Python library for running thousands of MuJoCo simulations in parallel on CPU
[Up-to-date] A curated list of resources on graph-empowered agents and agent-facilitated graph learning (Graphs Meet Agents & Agentic Graph Engineering).
Open skill for capturing AI agent work as structured traces.
Multi-agent simulation library in Python