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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
❓Curie: Automated and Rigorous Scientific Experimentation with AI Agents
| Date | Stars |
|---|---|
| 2026-07-31 | 367 |
| 2026-08-06 | 367 |
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# Curie: A Research Experimentation Agent <!-- # Curie: Automate Rigorous Scientific Experimentation --> [](https://arxiv.org/abs/2502.16069) [](LICENSE) [](https://pypi.org/project/curie-ai/) [](https://join.slack.com/t/just-curieous/shared_invite/zt-37iz7pnjo-TIrzg9aBwYTCoaMTl~X1hA) [](http://44.202.70.8:5000/) [](https://www.just-curieous.com/) Curie is the first AI-agent framework designed for automated and rigorous scientific experimentation. Curie helps answer your curiosity through end-to-end experimentation automation, ensuring that every step—from hypothesis formulation to result interpretation—is conducted with precision, reliability, and reproducibility. Our mission is to empower scientists to move research at the speed of thought. <p align="center"> <!-- <img src="./docs/static/img/curie-overview.png" width="600px"/> --> <img src="./docs/static/img/research-lifecyle.png" width="600px"/> </p> <p align="center">Curie’s Role in the Scientific Research Lifecycle</p> ## 🗞️ News - **[2025/06]** We published **EXP-Bench**: Can AI Conduct AI Research Experiments? → [📄 Paper](https://arxiv.org/abs/2505.24785) | [🗂️ Dataset](https://huggingface.co/datasets/Just-Curieous/EXP-Bench) | [📰 Blog](https://www.just-curieous.com/machine-learning/research/2025-06-11-exp-bench-can-ai-conduct-ai-research-experiments.html) - **[2025/05]** We launched an **AutoML feature** to help researcher find the optimal ML solution → [📢 Blog](https://www.just-curieous.com/machine-learning/research/2025-05-27-automl-co-scientist.html) - **[2025/02]** We published **Curie**: Toward Rigorous and Automated Scientific Experimentation with AI Agents → [📄 Paper](https://arxiv.org/abs/2502.16069) | [📰 Blog](https://www.just-curieous.com/) ## Key Features - 🚀 Automated Experimentation – From hypothesis formulation, experiment implementation, experiment execution, result analysis and finding reflection. - 📊 Rigor Enhancement - Built-in verification modules enforce methodical procedure, agent reliability and reproducibility. - 🔬 Broad Applicability – Supports [**ML Engineering**](https://www.just-curieous.com/machine-learning/research/2025-05-27-automl-co-scientist.html), [system analysis](./docs/example_logs/sorting_example/research_1748830453_20250602021413_iter1.md), and scientific discovery. - 💻 Use Your Starter Code – Supports working on arbitrary user's starter code. - 📂 Bring Your Own Dataset – Supports working on arbitrary user's datasets. - 🧾 Automatic, Insightful Reporting - See a sample report [here](./benchmark/mle_bench/histopathologic-cancer-detection/histopathologic-cancer-detection_20250519225201_iter1.md) ## Table of Contents - [⚙️ Installation](#-installation) - [⚡ Quick Start](#-quick-start) - [📚 Tutorial](#-tutorial) - [🎬 Demo](#-demo-video) ## ⚙️ Installation **Prerequisite: Install Docker** from [here](https://docs.docker.com/engine/install/ubuntu/) ```bash sudo chmod 666 /var/run/docker.sock docker ps # Verify Docker installation ``` #### Option 1: Quick Install via `pip` ```bash pip install curie-ai ``` #### Option 2: Manual [Installation](./docs/installation.md) for Developers ## ⚡ Quick Start - *It's recommended to use `tmux` or a similar terminal multiplexer before running Curie, as experiments can take several minutes depending on the task and budget.* - *Do not use Jupyter Notebook.* ### (Simple) Example 1: You Have a Single Question that Needs to be Verified. 👩🎓: I want to understand the Sorting Algorithm Efficiency. ```python import curie # Set up your API keys, refer to curie/setup/env.sh.example ke
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:cb00cf021e5fbe29, topic:llm, topic:gpt
matched fp:cb00cf021e5fbe29, topic:ai-agents, desc:ai agents