https://github.com/zichunhao/cnn-jet-autoencoder
Convolutional neural network autoencoders for jets in HEP
https://github.com/zichunhao/cnn-jet-autoencoder
autoencoder convolutional-neural-networks high-energy-physics jet-image particle-physics physics
Last synced: 5 months ago
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Convolutional neural network autoencoders for jets in HEP
- Host: GitHub
- URL: https://github.com/zichunhao/cnn-jet-autoencoder
- Owner: zichunhao
- License: mit
- Created: 2022-07-27T07:42:38.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-04-01T09:21:20.000Z (over 2 years ago)
- Last Synced: 2025-02-22T11:42:39.953Z (9 months ago)
- Topics: autoencoder, convolutional-neural-networks, high-energy-physics, jet-image, particle-physics, physics
- Language: Python
- Homepage:
- Size: 103 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Convolutional Neural Network Autoencoders for Jets
Convolutional Neural Network (CNN) autoencoder on jet images in particle physics, used as a baseline for the [LGAE](https://github.com/zichunhao/lgn-autoencoder).
## Prepare Data
To prepare the data for training and testing, run the following script.
```bash
python3 data/preprocess.py --save-dir "data"
```