Add Google Colab notebook for 2D Diffusion template #232
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This PR adds a production-ready Google Colab notebook that enables users to run The AI Scientist without local setup, addressing issue SakanaAI#200. Changes: - Add notebooks/ai_scientist_2d_diffusion.ipynb with full pipeline support - Add pinned dependencies in requirements/ for reproducibility - Update README.md with Colab quick start section The notebook has been tested end-to-end on Google Colab and successfully generates complete research papers in 30-45 minutes for $3-10 using the free T4 GPU. Key features: - Zero local installation required - Supports OpenAI, Anthropic, and DeepSeek APIs - Includes cost breakdown and estimates - Runs full pipeline: idea generation, experiments via Aider, paper writing - Auto-downloads generated PDF Testing notes: - Verified on Google Colab with free T4 GPU - Fixed idea generation to call function directly vs CLI - Fixed novel field handling for skip-novelty-check mode - Confirmed full pipeline execution including Aider code modifications This makes The AI Scientist accessible to researchers and developers without access to local GPU infrastructure.
Users should make a copy before running to avoid losing progress
Keep Sakana AI's original emojis in header and links
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I’ve been following the work coming out of Sakana AI for a while, and The AI Scientist feels like a major step forward for automated research. As a student deeply interested in both AI and Japan’s growing innovation ecosystem, I’m fascinated by how intelligent systems can learn, adapt, and ultimately contribute to solving real problems for Japan and the world.
Related issue
Closes #200.
What this PR adds
This PR introduces a production-ready Google Colab notebook that lets users run The AI Scientist without any local setup, addressing the request in #200.
Changes:
notebooks/ai_scientist_2d_diffusion.ipynbwith full pipeline support on Colabrequirements/for reproducibilityREADME.mdwith a Colab quick start section so new users can get started quicklyNotebook features
The Colab notebook is designed to feel as close as possible to "open and run":
Testing
Tested on Google Colab with a free T4 GPU:
novelfield when running in--skip-novelty-checkmodeUnder typical settings the full pipeline runs in about 30-45 minutes on a free T4 GPU, with an estimated cost in the 3-10 USD range depending on model usage.