https://github.com/piebro/physarum-latent-walk

https://github.com/piebro/physarum-latent-walk

Last synced: 10 months ago
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• Host: GitHub
• URL: https://github.com/piebro/physarum-latent-walk
• Owner: piebro
• Created: 2021-03-26T17:53:06.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2021-04-16T14:37:06.000Z (about 5 years ago)
• Last Synced: 2025-01-18T04:43:33.600Z (over 1 year ago)
• Language: Jupyter Notebook
• Homepage: https://piebro.github.io/physarum-latent-walk/index.html
• Size: 144 MB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Physarum Latent Walk

Usage of the [Physarum Latent Walk Dataset](https://www.kaggle.com/pietbroemmel/physarum-latent-walk) to generate and interpolate images. The images are created with a latent walk, an interpolation between vectors in a latent space. The latent space is learned with an autoencoder neural network architecture. 

## Examples

![labyrinth gif](examples/video_labyrinth_5_et_noise_seed952352_epoch015_e6addb14d0e40ff485fdab276d6682af.gif)

![runes gif](examples/video_runes_6_et_noise_seed312575_epoch035_b3e25ec407470890e425d97dd5923042.gif)

More Examples in higher quality can be found here: https://piebro.github.io/physarum-latent-walk/index.html

## Usage

An example of how to use the the dataset and generate a latent walk with the model can be found in example.ipynb. To open the notebook in google colab click [here](https://colab.research.google.com/github/piebro/physarum-latent-walk/blob/master/example.ipynb)