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Stars
Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat.
An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.
Paste any GitHub URL → interactive architecture map. See how files connect, find what breaks if you change something. No install, no accounts — runs entirely in your browser.
Foundational Agent Skills for NVIDIA Jetson Device
Local-first healthcare AI: clinical NER and HIPAA PII de-identification on hardware you control. 2,200+ medical models, 35 model-backed PII languages, and Python, MLX, Android and browser runtimes.…
Ongoing research training transformer models at scale
The AI that really does things. Any OS. Any Platform. The lobster way. 🦞
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
A course on aligning smol models.
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
Xournal++ is a handwriting notetaking software with PDF annotation support. Written in C++ with GTK3, supporting Linux (e.g. Ubuntu, Debian, Arch, SUSE), macOS and Windows 10. Supports pen input fr…
The official GitHub page for the survey paper "A Survey of Large Language Models".
An awesome list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare
On the Theoretical Limitations of Embedding-Based Retrieval
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
A launch point for your personal nvim configuration
LSP-AI is an open-source language server that serves as a backend for AI-powered functionality, designed to assist and empower software engineers, not replace them.
Distribute and run LLMs with a single file.
ML-powered speech recognition directly in your browser