Stars
Build a modern LLM from scratch. Every line commented. Explained like we are five.
Python tool for converting files and office documents to Markdown.
OpenShell is the safe, private runtime for autonomous AI agents.
Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference
A curated list of awesome mathematics resources
Thermodynamic Hypergraphical Model Library in JAX
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Cosmos Curator is a powerful video curation system that processes, analyzes, and organizes video content using advanced AI models and distributed computing.
Simulation platform for general-purpose robotics & embodied AI learning.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Laser for control mosquito, weed, and pest
Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
✨✨Latest Advances on Multimodal Large Language Models
extendable code review and QA agent 🚢
You like pytorch? You like micrograd? You love tinygrad! ❤️
A high-throughput and memory-efficient inference and serving engine for LLMs
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
A WireGuard configuration utility for Private Internet Access
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Running large language models on a single GPU for throughput-oriented scenarios.
Making large AI models cheaper, faster and more accessible
DSPy: The framework for programming—not prompting—language models