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Interactive machine learning algorithms in Python with Jupyter demos
A guide to Embodied AI technologies for developers interested in building with AI-powered tools and agents.
A Python SDK for agent AI observability, monitoring, and evaluation with features like tracing, debugging, and analytics.
A CLI tool for analyzing usage of the Claude Code/Codex AI programming assistant.
An efficient zero-shot text-to-speech system with fine-grained control over the generated voice.
A curated collection of 300+ case studies from 80+ companies, detailing practical ML system design insights.
End-to-end tutorials covering production-grade GenAI agents with reusable patterns and blueprints.
An automated penetration testing framework powered by large language models for security research.
A collection of various deep learning architectures, models, and tips for AI and machine learning developers.
Unofficial Python API for interacting with Google's NotebookLM, a large language model for code generation.
AutoGPT is a platform for creating and managing AI agents that automate complex workflows.
Comprehensive guide for Chinese developers to deploy and fine-tune open-source LLMs on Linux
Enterprise-grade agentic workflow platform for building next-generation SuperAgents with AI and low-code tooling.
A library that uses AI to convert sketches into full-color paintings, useful for vibe coders.
On-device multimodal LLM for vision, speech, and live streaming on phones
A curated list of reinforcement learning resources for developers interested in this field of AI.
Hindsight is an agent-based memory system that aims to work like human memory, built for AI developers.
A high-performance text-to-speech, speech-to-text, and speech-to-speech library for Apple Silicon devices.
Converts PDFs to markdown and JSON with high accuracy
A free resource to learn AI and Large Language Models from scratch for developers.
Comprehensive GenAI agent tutorials and implementations
Hugging Face Agents Course - Learn to build AI agents with frameworks like LangChain, LlamaIndex, and Smolagents
This is an open-source implementation of a multimodal instruction-based editing and generation model.
An R&D agent that automates high-value generic R&D processes to let AI drive data-driven AI.
Enhances Claude Code with structured workflows, agents, and commands for development
A Rust-based memory layer for AI agents, enabling serverless, single-file memory with instant retrieval and long-term storage.
A local-first chat analysis tool that uses SQL and AI agents to relive and explore social memories
PyTorch Lightning simplifies deep learning training and deployment at scale.
A lightweight video generation model that can create videos from images and text using AI.
This is a Python-based tool that uses Playwright and AI filtering to monitor and analyze products on Xianyu (a Chinese secondhand marketplace).
A minimal Agentic RAG (Retrieval-Augmented Generation) agent built with LangGraph, for developers to learn RAG quickly.
The repository provides code and tools for running inference and fine-tuning with the Meta Segment Anything Model 3 (SAM 3).
A library for generating 3D models using compact, structured latent representations.
An open-source ChatGPT-like chatbot powered by the RWKV language model, a 100% RNN-based system.
A Python library that provides a SQL-native memory layer for large language models, AI agents, and multi-agent systems.
A comprehensive list of PyTorch-related content on GitHub, including models, libraries, and tutorials.
An LLM post-training framework for scaling Reinforcement Learning.
DSPy: Framework for programming language models with modular AI systems and prompt optimization
A multilingual document layout parsing model that can extract text, images, and structure from documents in a single vision-language model.
A community-driven multi-agent platform for building financial applications using AI and crypto.
An open-source Python toolkit for building, evaluating, and deploying sophisticated AI agents.
A comprehensive guide to using the RAG (Retrieval-Augmented Generation) technique for large language model applications.
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
A comprehensive book on the foundations of Large Language Models (LLMs) for developers.
A machine learning-based video upscaling and frame interpolation framework for developers working with AI tools.
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