Awesome
scRNAseq-WGAN-GP
<img align="right" width="250" height="250" src="/images/github.png?raw=true">Wasserstein Generative Adversarial Network for analysing scRNAseq data.
This repo contains a Jupyter Notebook with a minimal version of the WGAN-GP algorithm.
Related manuscript is on bioRxiv
Usage
Dependencies: Tensorflow, NumPy, Pandas, scikit-learn
Clone the repo, ensure you have git lfs installed and perform git lfs pull for the CSV files
python ./scripts/WGAN-GP_minimal.py
Watch discriminator/generator loss convergence:
tensorboard --logdir=./summaries/