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GeorgiaTech
- Atlanta, United States
- https://jnskkmhr.github.io/
- @jnskkmhr1218
- in/junnosuke-kamohara-703315255
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Karpathy-inspired CLAUDE.md Plus: an expanded 12-rule behavior contract for Claude Code, Cursor, and AI coding agents. 基于 Karpathy 的 CLAUDE.md 进一步扩展补充的 Plus 版本,适用于 Claude Code、Cursor 和 AI 编码智能体。
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
PACE: A systematic approach for sim-to-real transfer of legged robots, identifying actuator and joint dynamics with standard joint encoders.
CuPIQP: GPU-accelerated Proximal-Interior-Point-Method QP solver for large-scale and batched QPs
[RSS 2026] Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation
A Python CLI tool that converts Claude Code transcript JSONL files into readable HTML / Markdown format.
Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
Claude Code-driven research paper proofreading prompt
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
Repository for our papers: Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics and Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforceme…
Lightweight implementation of Robotic World Model (RWM) and Uncertainty-Aware Robotic World Model (RWM-U)
Localization by LiDAR for Humanoid(like Unitree G1)
Crocoddyl is an optimal control library for robot control under contact sequence. Its solver is based on various efficient Differential Dynamic Programming (DDP)-like algorithms
A framework for Reinforcement Learning research.
Open Source Code for RA-L 2025 Paper
Raycaster that supports multiple and dynamic mesh. Designed primarily to be used with Isaac Sim.
This is a repository for reinforcement learning implementation for Unitree robots, based on IsaacLab.
Booster Gym is a reinforcement learning (RL) framework designed for humanoid robot locomotion developed by Booster Robotics.
Ego-Vision World Model for Humanoid Contact Planning