microsoft / ai-agents-for-beginners
12 Lessons to Get Started Building AI Agents
See what the GitHub community is most excited about today.
12 Lessons to Get Started Building AI Agents
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
PyTorch code and models for the DINOv2 self-supervised learning method.
21 Lessons, Get Started Building with Generative AI
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
Examples and guides for using the Gemini API
Repository for all of the code that was written for the FreeCodeCamp Course and the answers for all of the exercises.
Google Research
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
📚 从零开始构建大模型
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
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 for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Python - 100天从新手到大师
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼