The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery (15k stars)
What it does
All text below is quoted directly from the project README.
>We're excited to introduce The AI Scientist, the first comprehensive system for fully automatic scientific discovery, enabling Foundation Models such as Large Language Models (LLMs) to perform research independently.
Making Your Own Template:
- experiment.py: This is the main script where the core content is. It takes an argument --out_dir, which specifies where it should create the folder and save the relevant information from the run.
- plot.py: This script takes the information from the run folders and creates plots. The code should be clear and easy to edit.
- prompt.json: Put information about your template here.
- seed_ideas.json: Place example ideas here. You can also try to generate ideas without any examples and then pick the best one or two to put here.
- latex/template.tex: We recommend using our LaTeX folder but be sure to replace the pre-loaded citations with ones that you expect to be more relevant.
>This code is designed to run on Linux with NVIDIA GPUs using CUDA and PyTorch.
Repository
SakanaAI/AI-Scientist
Repository stats
|Metric|Value|
|:-|:-|
|Stars|14,813|
|Forks|2.1k|
|Last release|None|
|Languages|Jupyter Notebook 39.7%, TeX 29.3%, Python 23.2%|
|Contributors|22|
|AI contributor accounts (Claude / Codex / Cursor / Copilot)|@claude (2 commits)|
|AI co-authored commits|Claude: 2|
Main contributor
|Field|Value|
|:-|:-|
|Name|Cong Lu|
|GitHub|@conglu1997|
|Commits to this repo|66 (top contributor)|
|Bio|Founding Member of Technical Staff @ Recursive|
|Company / Location|London, UK|
|Followers|411|
──────────────────────────────
📌 How many great GitHub repos have you discovered and completely forgotten about?
Don't let another useful tool disappear into your Reddit feed. Get the community's best repos, organized by category, plus key takeaways from real developer discussions, delivered to your inbox twice a week.
📬 Never lose track of great repos again. Subscribe free.
83 points · 2 comments
Mentions
让 LLM 把提想法、写代码跑实验、画图、写论文、评审这条科研链路自动跑完，人只需要给模板和模型。 SakanaAI/AI-Scientist t.co
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery (15k stars) What it does All text below is quoted directly from the project README. >We're excited to introduce The AI Scientist, the first comprehensive system for fully automatic scientific discovery, enabling Foundation Models such as Large Language Models (LLMs) to perform research independently. Making Your Own Template: - experiment.py: This is the main script where the core content is. It takes an argument --out_dir, which specifies where it should create the folder and save the relevant information from the run. - plot.py: This script takes the information from the run folders and creates plots. The code should be clear and easy to edit. - prompt.json: Put information about your template here. - seed_ideas.json: Place example ideas here. You can also try to generate ideas without any examples and then pick the best one or two to put here. - latex/template.tex: We recommend using our LaTeX folder but be sure to replace the pre-loaded citations with ones that you expect to be more relevant. >This code is designed to run on Linux with NVIDIA GPUs using CUDA and PyTorch. Repository SakanaAI/AI-Scientist Repository stats |Metric|Value| |:-|:-| |Stars|14,813| |Forks|2.1k| |Last release|None| |Languages|Jupyter Notebook 39.7%, TeX 29.3%, Python 23.2%| |Contributors|22| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|@claude (2 commits)| |AI co-authored commits|Claude: 2| Main contributor |Field|Value| |:-|:-| |Name|Cong Lu| |GitHub|@conglu1997| |Commits to this repo|66 (top contributor)| |Bio|Founding Member of Technical Staff @ Recursive| |Company / Location|London, UK| |Followers|411| ────────────────────────────── 📌 How many great GitHub repos have you discovered and completely forgotten about? Don't let another useful tool disappear into your Reddit feed. Get the community's best repos, organized by category, plus key takeaways from real developer discussions, delivered to your inbox twice a week. 📬 Never lose track of great repos again. Subscribe free.