Metadata-Version: 2.1
Name: gd-vae-pytorch
Version: 0.0.2
Summary: Implementation of GD-VAEs in PyTorch.
Home-page: http://atzberger.org/
Author: Ryan Lopez and Paul J. Atzberger
Author-email: atzberg@gmail.com
License: UNKNOWN
Description: PyTorch implementation of GD-VAEs.
        
        NOTE: The package is still being packaged for pip.  Please sign-up below for Google-Form for mailing list announcing soon this code release:
        <https://forms.gle/mJSRRrqMo8CwFKRC7>
        
        If you find these codes or methods helpful for your project, please cite: 
        
        ```
        @article{lopez_atzberger_gd_vae_2022,
          title={GD-VAEs: Geometric Dynamic Variational Autoencoders for 
          Learning Non-linear Dynamics and Dimension Reductions},
          author={Ryan Lopez, Paul J. Atzberger},
          journal={arXiv:2206.05183},  
          month={June},
          year={2022},
          url={http://arxiv.org/abs/2206.05183}
        }
        ```  
        
        Source code and additional information for this package available at <https://github.com/gd-vae>
        and <http://atzberger.org>.
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
