walace-datascientist / cwr-gan

The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.

CWR-GAN

The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression: https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16938

Note that this model uses code from https://github.com/mmcdermott/ml_toolkit as well. Other dependencies are captured in the conda environment file, conda_environment.yml. To install a duplicate environment given that file, see https://conda.io/docs/user-guide/tasks/manage-environments.html#creating-an-environment-from-an-environment-yml-file

For usage instructions, see Model Usage.ipynb