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Freelance
- Tokyo, Japan
- https://ggando.com/
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Locate a nearby Bluetooth device by signal strength, from the macOS command line — for when Find My isn't available
A lightweight, local-first, and free experiment tracking library from Hugging Face 🤗
The M2TW Engine Overhaul Project (M2TWEOP) is designed to expand the capabilities of the strategy game Medieval 2: Total War. EOP uses C++ and Assembly to modify the game's code in-memory and expos…
A skill to stop your coding agent from burying the answer. ADHD-friendly output.
Dataset of Linus Torvalds' rants classified by negativity using sentiment analysis
Container runtimes on macOS (and Linux) with minimal setup
open-arms-mini: cheap human like teleoperation device that supports human in the loop corrections
A collection of ergonomic split keyboards ⌨
Copper is an operating system for robots - build, run, and replay your entire robot deterministically.
HumanEgo: Zero-Shot Robot Learning from Minutes of Human Egocentric Videos
FlashSpace is a blazingly fast virtual workspace manager for macOS ⚡
Rust library and CLI tool for OCR (extracting text from images)
This is hardware and firmware repo of flexitac.
Real-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
An all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning
🔥 SpatialVLA: a spatial-enhanced vision-language-action model that is trained on 1.1 Million real robot episodes. Accepted at RSS 2025.
This is the official implementation of the paper "ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy".
[ICLR 2026] SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning