Open Source AI Projects
Discover 87+ curated GitHub repositories for building with AI. Updated daily with trending projects, frameworks, and tools.
Showing 1–10 of 10 projects
awesome-chatgpt-prompts
f/awesome-chatgpt-prompts
A curated collection of effective prompts for ChatGPT and other LLMs, organized by use cases and roles. Includes a TypeScript web application for browsing and sharing prompts.
Saves time with proven prompt templates and provides inspiration for effective prompt engineering across various domains.
system-prompts-and-models-of-ai-tools
x1xhlol/system-prompts-and-models-of-ai-tools
A comprehensive collection of system prompts and internal configurations from popular AI development tools like Cursor, Claude, Copilot, and others. Provides insights into how leading AI tools structure their instructions.
Valuable resource for understanding prompt engineering techniques used by professional AI tools to improve your own implementations.
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.
awesome-llm-apps
Shubhamsaboo/awesome-llm-apps
Collection of practical LLM applications demonstrating RAG systems, AI agents, and multi-model integrations using popular frameworks. Includes ready-to-run examples with OpenAI, Anthropic, and open-source models.
Practical code examples that accelerate LLM application development with working implementations of common patterns.
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.
llm-course
mlabonne/llm-course
Comprehensive course and roadmap for learning Large Language Models with practical Colab notebooks covering fine-tuning, RLHF, and deployment strategies. Includes both theoretical concepts and hands-on implementation.
Structured learning path for LLM development with practical notebooks that bridge theory and implementation.
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.
gradio
gradio-app/gradio
Python framework for building and sharing machine learning web interfaces with minimal code. Provides interactive UI components for ML model deployment and data visualization.
Fastest way to create web interfaces for ML models and data science projects with zero frontend development required.
C-Plus-Plus
TheAlgorithms/C-Plus-Plus
TheAlgorithms C++ is an educational collection of algorithm implementations in mathematics, machine learning, computer science, and physics using C++ for learning purposes.
Valuable reference for developers learning algorithms and data structures with practical C++ implementations.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
A curated collection of 500 AI, machine learning, deep learning, computer vision, and NLP projects with source code for educational and reference purposes.
Comprehensive project repository for developers learning AI/ML concepts through practical implementations and examples.