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https://github.com/valentingol/vae
Pesonal implementation of Varitional Auto-encoder
https://github.com/valentingol/vae
Last synced: 2 days ago
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Pesonal implementation of Varitional Auto-encoder
- Host: GitHub
- URL: https://github.com/valentingol/vae
- Owner: valentingol
- Created: 2021-12-15T15:48:47.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2021-12-15T19:44:07.000Z (almost 3 years ago)
- Last Synced: 2024-10-12T16:36:00.384Z (about 1 month ago)
- Language: Python
- Size: 323 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# VAE
Personal implementation of convolutional variational auto-encodeur in many frameworks.
To install the requirements, run in a new virtual environment:
```script
pip install -r /requirements.txt
```
To run a training (example in tensorflow):
```script
python3 /train.py
```
The configurations can be changed in the script.
Example of images generated by a VAE on hand-written digits MNIST (with latent dimension of 2) from a grid on latent space:
