| FazBrowse GitHub Viewer | Trending | | Home |
| Tools: [Original HTTPS Page] |
Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.
You must be logged in to block users.
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseI build and study agent systems.
I focus on AI coding, agent applications, and frontier papers around agents, RL, tools, memory, and LLM systems.
| Project | What it is |
|---|---|
| hands-on-modern-rl | Modern RL practice course |
| modern-llm-notebook | 23 runnable PyTorch LLM notebooks |
| learn-harness-engineering | Project-based harness engineering course |
| easy-vibe | Vibe coding for learners of any age or background |
| hello-claw | OpenClaw learning and skills tutorial |
| Project | What it is |
|---|---|
| nanoAgent | Minimal function-calling agent |
| nanoMCP | Minimal MCP server and clients |
| nanoSkill | Minimal Agent Skills implementation |
| nanoMemory | 9 small agent memory demos |
I want to use agents to solve real problems in coding, research, learning, and automation.
I read frontier papers, then turn the ideas into runnable projects.
I am also exploring how AI can raise the ceiling of human creativity, and I hope that future arrives soon. If you are interested in this direction, feel free to reach out.
A hands-on course for building modern LLMs from scratch in PyTorch, with 26 runnable Jupyter Notebooks covering tokenizers, attention, MoE, RLHF, inference, evaluation, and distillation.
Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
Harness engineering beginner tutorial, from 0 to 1
💻 vibe coding 101|The first course for AI-native product builders.
| Back | FazBrowse Home | New Git URL |