shayneobrien/generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Jupyter NotebookMIT
Stargazers
- 15863004186sunchi
- a-maumauJapan
- aidiaryDeNA Co., Ltd.
- awkrail@line
- cafeal@line
- cmhungsteve@NVIDIA
- daigo0927Tokyo, Japan
- EgorLakomkinUniversity of Hamburg
- eos21SatCom
- ericpollen
- fjxmlznMicrosoft Research
- h-shib
- hsaghirToronto
- kevinlemon
- khursani8Kuala Lumpur
- kyz128
- liang233NJUST
- MahdiKarimian
- michiboo1
- moskomuleRIKEN AIP
- nyoki-mtlThe University of Tokyo
- ohnabe
- ribanez@proterabio
- sam-levUniversity of Utah
- shimopino
- sldStockholm, Stockholm County, Sweden
- stlwolfTokyo
- sugyanKyoto, Japan
- TanUkkii007Tokyo
- UdonDaThe University of Tokyo
- uetchy
- violetguosCanada
- yskn67
- yu4uGO inc.
- yuchenlin@allenai
- zEttOn86Japan / Tokyo