Lists (2)
Stars
Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat.
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
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 & HIPAA PII de-identification that runs 100% on-device. 2,200+ medical models, 21 languages, Apple MLX + Python, no cloud, no patient data leaving your netwo…
Ongoing research training transformer models at scale
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Simultaneous speech-to-text models
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 a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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