https://github.com/theislab/svaeligr

sVAE with learnable interventions
https://github.com/theislab/svaeligr

Last synced: 10 months ago
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sVAE with learnable interventions

• Host: GitHub
• URL: https://github.com/theislab/svaeligr
• Owner: theislab
• License: apache-2.0
• Created: 2023-10-16T06:56:08.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-04-29T07:16:36.000Z (about 2 years ago)
• Last Synced: 2024-12-30T12:46:55.767Z (over 1 year ago)
• Language: Python
• Size: 1.85 MB
• Stars: 3
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
# sVAE ligr

An extension of Spike-Slab Variational Autoencoder for causal representation learning with learnable interventions. 

![svae_ligr_graphical_abstract_transbg](https://github.com/theislab/svaeligr/assets/7257233/23d1cb8e-a7ea-4cdb-b932-da86ee76d379)

### Installation

Download or clone this repository. Then from inside the folder simply run:

```

pip install -e . 

```

## User guide

The jupyter notebooks of this implementation were tested with the packages of the following version numbers:

- python == 3.8

- scvi-tools == 0.18.0

- torchmetrics == 0.11.4

- pandas == 1.5.3

## References:

This work is based on the implementation of sVAE+ by Lopez et al. The original implementation can be found at: https://github.com/Genentech/sVAE/tree/main