Master programming by recreating your favorite technologies from scratch.

😎 Awesome lists about all kinds of interesting topics

📚 Freely available programming books

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

🦜🔗 The platform for reliable agents.

Production-ready platform for agentic workflow development.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

21 Lessons, Get Started Building with Generative AI

Build smaller, faster, and more secure desktop and mobile applications with a web frontend.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus Agent Tools, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae…

Robust Speech Recognition via Large-Scale Weak Supervision

LLM inference in C/C++

Python tool for converting files and office documents to Markdown.

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

A topic-centric list of HQ open datasets.

Apache Superset is a Data Visualization and Data Exploration Platform

🤯 LobeHub - an open-source, modern design AI Agent Workspace. Supports multiple AI providers (OpenAI / Claude 4 / Gemini / DeepSeek / Ollama / Qwen), Knowledge Base (file upload / RAG ), one click …

simple terminal UI for git commands

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

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

🙌 OpenHands: Code Less, Make More

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

A high-throughput and memory-efficient inference and serving engine for LLMs

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Inference code for Llama models