https://github.com/ophiase/vsc-for-sparse-vae

Work In Progress | 🎇 Presentation of the VSC model, a variant of VAE - 📔 High Dimensional Statistics
https://github.com/ophiase/vsc-for-sparse-vae

dimensionality-reduction high-dimensional-statistics vae vsc

Last synced: about 2 months ago
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Work In Progress | 🎇 Presentation of the VSC model, a variant of VAE - 📔 High Dimensional Statistics

• Host: GitHub
• URL: https://github.com/ophiase/vsc-for-sparse-vae
• Owner: Ophiase
• License: apache-2.0
• Created: 2025-03-17T13:18:21.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2025-03-30T13:13:05.000Z (2 months ago)
• Last Synced: 2025-03-30T14:23:04.372Z (2 months ago)
• Topics: dimensionality-reduction, high-dimensional-statistics, vae, vsc
• Language: Python
• Homepage:
• Size: 15.6 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# 🎇 Variational Spase Coding - 📔 Statistical Course

Presentation of the VSC model, a variant of VAE. 

- TODO:

    - Model

        - ✅ Autoencoder

        - ✅ VAE

        - ✅ VSC

    - Train

        - ✅ Train Autoencoder

        - ✅ Train VAE

        - ✅ Train VSC

        - ✅ Train VSC with warmup

        - ✅ Save History

    - Visualize

        - Reconstruction

            - Regular

            - Noised

        - ✅ History

        - Latent Space

        - Activated dimensions

    - Documentation

        - AutoEncoder

        - VAE

        - VSC

        - README