Enable moe for nanogpt.

Python data model generator (Pydantic, dataclasses, TypedDict, msgspec) from OpenAPI, JSON Schema, GraphQL, and raw data (JSON/YAML/CSV).

🚀 The open-source, multi-tenant platform for self-building knowledge graphs and simulation

The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol

OpenRecall is a fully open-source, privacy-first alternative to proprietary solutions like Microsoft's Windows Recall. With OpenRecall, you can easily access your digital history, enhancing your me…

A framework to enable multimodal models to operate a computer.

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory,…

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These vide…

Crates for the Mac OS Hypervisor bindings and APIs

Rust API to the OS X Hypervisor framework for hardware-accelerated virtualization

Use Segment Anything 2, grounded with Florence-2, to auto-label data for use in training vision models.

Benchmark various LLM Structured Output frameworks: Instructor, Mirascope, Langchain, LlamaIndex, Fructose, Marvin, Outlines, etc on tasks like multi-label classification, named entity recognition,…

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

Add filters (background blur, etc) to your webcam on Linux.

🤖 AI-powered macOS automation framework - Control your Mac with natural language using GPT models. No code needed, just English instructions!

A reinforcement learning framework based on MLX.

A model-driven approach to building AI agents in just a few lines of code.

Collected code data for code-LLM training and a crawler/spider script for GitHub

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Train Large Language Models on MLX.

A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.

An Open Foundation Model and Benchmark to Accelerate Generative Recommendation

A Python package for object segmentation using Segment Anything Model (SAM-3) with configurable export and visualization options.

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .