Open source. Open possibilities.

A curated collection of 90+ hands-on AI engineering tutorials and projects covering LLMs, RAG, agents, MCP, multimodal apps, fine-tuning and evaluation, organized by beginner, intermediate and advanced difficulty.

Made With ML is an open-source course and codebase teaching how to design, develop, deploy and iterate on production-grade machine learning applications, covering MLOps, testing, serving, CI/CD and continual learning.

Open-source collection of 100+ AI agents, agent skills, and RAG apps. Apache-2.0, hand-built and tested end-to-end, works with Claude, GPT, Gemini, DeepSeek, Llama, Qwen.

AutoAgent is a zero-code framework that lets users create and deploy LLM agents and workflows using natural language alone, with features like automated agent profiling, tool creation, and multi-agent orchestration.

A self-hosted web UI for AI coding agents: Rust backend (axum, tokio, SQLite) with an embedded Flutter web frontend, pluggable providers for Devin CLI, OpenCode and Codex CLI, browser login, sessions and file handling.

Oumi is an open-source platform for the full foundation-model lifecycle: data preparation, training and fine-tuning (SFT, LoRA, QLoRA, GRPO), evaluation, data synthesis with LLM judges, and deployment via vLLM/SGLang, with a CLI and cloud job launching.

FastMCP is a Python framework for building Model Context Protocol (MCP) applications, enabling seamless integration of LLMs with tools and data via servers, clients, and interactive UIs.

A free 21-lesson Microsoft course for beginners to build generative AI applications, covering LLMs, prompt engineering, RAG, agents, fine-tuning, and more, with Python/TypeScript examples.

A comprehensive open-source guide covering prompt engineering techniques, RAG, AI agents, and LLM optimization. Includes tutorials, research papers, tools, and notebooks for working effectively with large language models.

Tabby is a self-hosted, open-source AI coding assistant designed as an on-premises alternative to GitHub Copilot.