awesome-colab-notebooks
github.com/amrzv/awesome-colab-notebooks ↗Collection of google colaboratory notebooks for fast and easy experiments
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me projects resources from awesome-colab-notebooks"
Installation instructions →What's inside
Projects
- A2A
Google's Agent-to-Agent protocol, a standardized way for AI agents to communicate and collaborate
- ACME
A library of reinforcement learning components and agents
- ActionMesh
Temporal 3D diffusion framework that generates production-ready, topology-consistent animated 3D meshes from inputs like video, text, or static 3D shapes in a fast, feed-forward manner.
- ADK
Collection provides ready-to-use agents built on top of the Agent Development Kit, designed to accelerate your development process
- Agent Starter Pack
Collection of production-ready Generative AI Agent templates built for Google Cloud
- AlphaEvolve
Evolutionary coding agent that substantially enhances capabilities of state-of-the-art LLMs on highly challenging tasks such as tackling open scientific problems or optimizing critical pieces of computational infrastructure
Courses
- Anthropic courses
Anthropic's educational courses
- Anthropic's Prompt Engineering Interactive Tutorial
Course is intended to provide you with a comprehensive step-by-step understanding of how to engineer optimal prompts within Claude
- ARENA
Provide talented individuals with the skills, tools, and environment necessary for upskilling in ML engineering, for the purpose of contributing directly to AI alignment in technical roles
- Deep Learning Course at the University of Amsterdam
Series of Jupyter notebooks that are designed to help you understanding the "theory" from the lectures by seeing corresponding implementations
- Deep Learning School course (ML + CV)
- Deep Reinforcement Learning
CS 285 at UC Berkeley
Showing a sample of 223 resources. View the full list on GitHub →