Open Source AI Projects
Discover 87+ curated GitHub repositories for building with AI. Updated daily with trending projects, frameworks, and tools.
Showing 1–4 of 4 projects
generative-ai-for-beginners
microsoft/generative-ai-for-beginners
Microsoft's structured 21-lesson curriculum covering generative AI fundamentals through hands-on Jupyter notebooks. Covers key concepts from prompt engineering to building complete applications.
Comprehensive learning resource with practical examples and structured progression for developers entering the generative AI space.
ML-For-Beginners
microsoft/ML-For-Beginners
Microsoft's comprehensive 12-week machine learning curriculum with 26 lessons covering classical ML algorithms, practical applications, and hands-on projects using Python and R.
Well-structured learning path for traditional machine learning with practical exercises and real-world applications.
stable-diffusion
CompVis/stable-diffusion
The original Stable Diffusion implementation from CompVis, providing the foundational latent diffusion model for text-to-image generation. Includes research code and model weights.
Reference implementation for understanding diffusion model internals and building custom image generation solutions.
ai-agents-for-beginners
microsoft/ai-agents-for-beginners
Educational curriculum with 12 structured lessons for learning AI agent development using Microsoft's frameworks including AutoGen and Semantic Kernel. Provides hands-on Jupyter notebook exercises.
Best starting point for developers new to AI agents with structured learning path and practical exercises from Microsoft.