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21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Examples and guides for using the OpenAI API
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…
12 Lessons to Get Started Building AI Agents
12 Weeks, 24 Lessons, AI for All!
🔊 Text-Prompted Generative Audio Model
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Anthropic's Interactive Prompt Engineering Tutorial
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
A simple screen parsing tool towards pure vision based GUI agent
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
A guidance language for controlling large language models.
Neural Networks: Zero to Hero
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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…
Anthropic's educational courses
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed …
FinRL®: Financial Reinforcement Learning. 🔥
PyTorch code and models for the DINOv2 self-supervised learning method.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬