Open-source cross-platform alternative to AirDrop sharing files and messages over encrypted local direct connections without internet for nearby users and devices.
A resident CLI proxy that filters and compresses output from common development commands to cut token usage in AI coding sessions, packaged as a dependency-free Rust binary.
Google's data interchange format with compilers and runtimes enabling efficient structured serialization across programming languages for backend and cross-service communication developers.
Open-source LLM fine-tuning framework supporting diverse models and parameter-efficient methods, offering configuration-driven training workflows for machine learning practitioners to streamline experimentation and production adaptation.
Resource library continuously extracting and organizing Claude Code versioned system prompts, built-in tools, and sub-agent prompts, with token statistics and changelogs.
Official collection of example notebooks demonstrating how to build, train, fine-tune, and deploy machine learning models on Amazon SageMaker for data scientists and ML engineers.