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A Pytorch implementation of Poisson Identifiable VAE (pi-VAE), a variational auto encoder used to construct latent variable models of neural activity while simultaneously modeling the relation between the latent and task variables.
pip install pi-vae-pytorch
PyPI declares 1 unique dependency rule for this release. Environment markers are shown when supplied by the project.
>=2.0pi-vae-pytorch publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
PyPI lists 12 releases with files. The first dated release is ; 12 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .