awesome-ai
github.com/vidyasagarmsc/awesome-ai ↗The guide to master Artificial Intelligence (machine learning & deep learning) from beginner to advance
153
GitHub Stars
45
Curated Resources
8
Categories
3 hours ago
Last Refreshed
Beginners - Getting Started:robot:Advanced AIInfographicsOpensource Libraries and ToolsInteractive TutorialsTips and TricksFree books collectionDatasets
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me :books:books resources from awesome-ai"
Installation instructions →What's inside
Beginners - Getting Started
- 5 books to Master Machine Learning:books:Books
- A beginner's guide to artificial intelligence, machine learning, and cognitive computing:pencil: Articles
- A Comprehensive Guide On How to Monitor Your Models in Production:pencil: Articles
- AI cheatsheetsCheatsheets
- An executive’s guide to AI by McKinsey&Company:pencil: Articles
- An introduction to Artificial Intelligence:pencil: Articles
:robot:Advanced AI
- Cutting Edge Deep Learning for Coders:page_facing_up:Courses
- Deeplearning.ai | Coursera by Andrew Ng:page_facing_up:Courses
Coursera by Andrew Ng - 5 courses
- Deep Learning, An MIT Press book:books: Books
- fast.ai:page_facing_up:Courses
- Machine Learning | Coursera by Andrew Ng:page_facing_up:Courses
Coursera by Andrew Ng
- Practical Deep Learning for Coders:page_facing_up:Courses
Free books collection
Opensource Libraries and Tools
- Explore AI Libraries
Discover & find a curated list of AI popular & new libraries, top authors, trending project kits, discussions, tutorials & learning resources on kandi.
- Gymnasium
Gymnasium(formerly Gym) is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball.
- TensorFlow
An open source machine learning framework for everyone
Interactive Tutorials
Tips and Tricks
Showing a sample of 45 resources. View the full list on GitHub →