Starred repositories
Strip multi-vendor AI provenance marks: Unicode text hygiene, statistical rewrite hooks, and C2PA/metadata from PNG/JPEG/SVG/PDF/DOCX/HTML/MD
Nearly Inference Free Embeddings: make your RAG queries 500x faster
A curated collection of machine learning and AI lecture notes from the world's leading universities. This repository gives you access to the same lecture notes used by students at top institutions …
OpenAI's Codex Security CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities. npm: https://www.npmjs.com/package/@openai/codex-security
The open-source CapCut alternative
Open-source inference server and production cluster for all the models your agent needs.
AI AI Engineering Skills Checklist, part of the AI/ML Career Launchpad by Marina Wyss (used with permission)
ADHD — a skill for coding agents. Tree-of-thought with pruning, built on the Claude & Codex Agent SDK. Fans out parallel divergent thoughts under different cognitive frames, scores, prunes traps, d…
Open-source AI job search: scan job portals, evaluate listings with a structured A-F rubric into a 1.0-5.0 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Cod…
A Python interface module to the SAS System. It works with Linux, Windows, and Mainframe SAS as well as with SAS in Viya.
Own your compute, own your intelligence. Time to build your Personal AI Data Center.
Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat.
The job search that runs on your machine. AI job application framework built on Claude Code: evaluate postings, tailor CVs, write cover letters, prep interviews. Fork it and own it.
A TTS that fits in your CPU (and pocket)
Light, fluffy, and always free - The AWS Local Emulator alternative
Honeypot as code. Engage the adversary. Cultivate the data.
A browser-based video editor powered by ffmpeg.wasm. No uploads, no servers -- all processing happens locally in your browser using WebAssembly.
An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode, paper: https://arxiv.org/abs/2606.09682
Give your AI assistant real web search, full-page reading, and multi-source research with citations that are never fabricated.
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.
SIA is a Self Improving AI framework to autonomously improve the performance of any AI system (Model / Agent) on a benchmark task.
Effortlessly compose, extend, and observe every service in real-time for the first time ever.