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: about 1 month 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 2 years ago)
• Default Branch: main
• Last Pushed: 2023-04-01T09:21:20.000Z (almost 2 years ago)
• Last Synced: 2024-11-09T04:39:03.871Z (about 2 months ago)
• Topics: autoencoder, convolutional-neural-networks, high-energy-physics, jet-image, particle-physics, physics
• Language: Python
• Homepage:
• Size: 103 KB
• Stars: 0
• Watchers: 2
• 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"

```