Stars
21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 Lessons to Get Started Building AI Agents
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
llama3 implementation one matrix multiplication at a time
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
MiniCPM4 & MiniCPM4.1: Ultra-Efficient LLMs on End Devices, achieving 3+ generation speedup on reasoning tasks
A series of large language models trained from scratch by developers @01-ai
Deploy serverless AI workflows at scale. Firebase for AI agents
NVIDIA Isaac GR00T N1.5 - A Foundation Model for Generalist Robots.
CoTracker is a model for tracking any point (pixel) on a video.
Democratizing Reinforcement Learning for LLMs
FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀
OmniGen2: Exploration to Advanced Multimodal Generation.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Genome modeling and design across all domains of life
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Doing simple retrieval from LLM models at various context lengths to measure accuracy
Codes/Notebooks for AI Projects
Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science
GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting (SIGGRAPH Asia 2024, TOG)
Codebase for Aria - an Open Multimodal Native MoE
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.
A powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify and mitigate potential jailbreaks in their LLM APIs.
Supporting PyTorch models with the Google AI Edge TFLite runtime.