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GitHub / taldatech / soft-intro-vae-pytorch

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/taldatech%2Fsoft-intro-vae-pytorch
PURL: pkg:github/taldatech/soft-intro-vae-pytorch

Stars: 185
Forks: 28
Open issues: 2

License: apache-2.0
Language: Jupyter Notebook
Size: 1.31 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: about 1 year ago
Pushed at: almost 3 years ago
Last synced at: about 1 year ago

Topics: cvpr2021, density-estimation, image-generation, pytorch, soft-intro-vae, soft-introvae, vae, vae-pytorch, variational-autoencoder

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