Rotation-Invariant Hyperspherical Variational Convolutional Autoencoder
Project description
Spherinator & HiPSter
Spherinator uses PyTorch Lightning to implement a convolutional neural network (CNN) based variational autoencoder (VAE) with a spherical latent space.
HiPSter creates the HiPS tilings and the catalog which can be visualized interactively on the surface of a sphere with Aladin Lite.
Installation
Poetry is used for installation.
poetry install
Documentation
Acknowledgments
Funded by the European Union. This work has received funding from the European High-Performance Computing Joint Undertaking (JU) and Belgium, Czech Republic, France, Germany, Greece, Italy, Norway, and Spain under grant agreement No 101093441.
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European High Performance Computing Joint Undertaking (JU) and Belgium, Czech Republic, France, Germany, Greece, Italy, Norway, and Spain. Neither the European Union nor the granting authority can be held responsible for them.
License
This project is licensed under the Apache-2.0 License.
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