The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Transforming styles with JS plugins
A modular graph-based Retrieval-Augmented Generation (RAG) system
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions.
A set of best practices for JavaScript projects
The official Meta Llama 3 GitHub site
🕵️♂️ All-in-one OSINT tool for analysing any website
one-click face swap
🌟 JavaScript Style Guide, with linter & automatic code fixer
Code and documentation to train Stanford's Alpaca models, and generate the data.