https://github.com/burnycoder/ai-for-fundamental-physics
Repository for AI applications in fundamental physics
https://github.com/burnycoder/ai-for-fundamental-physics
Last synced: over 1 year ago
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Repository for AI applications in fundamental physics
- Host: GitHub
- URL: https://github.com/burnycoder/ai-for-fundamental-physics
- Owner: BurnyCoder
- Created: 2025-03-03T09:21:44.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-03T09:22:45.000Z (over 1 year ago)
- Last Synced: 2025-03-03T10:31:00.327Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 604 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AI for Fundamental Physics
This repository contains Jupyter notebooks and code exploring the application of artificial intelligence and machine learning techniques to problems in fundamental physics.
## Contents
- [Detecting the Higgs Boson with TPUs](detecting-the-higgs-boson-with-tpus-explained.ipynb): Jupyter notebook exploring the use of Tensor Processing Units (TPUs) for Higgs boson detection.
## Getting Started
To run the notebooks in this repository:
1. Clone the repository:
```
git clone https://github.com/BurnyCoder/ai-for-fundamental-physics.git
```
2. Install the required dependencies (details in individual notebooks)
3. Open the notebooks with Jupyter:
```
jupyter notebook
```
## License
This project is open source and available under the [MIT License](LICENSE).