Pinned Repositories
amasawa.github.io
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
BDL-ReadingList
blog
blog-theme
Files needed to replicate my research blog
ControlVAE-ICML2020
This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation, image generation
Groupified-VAE
[ICLR 2022] code for "Towards building a group-based unsupervised representation disentanglement framework"
last_layer_laplace
Last-layer Laplace approximation code examples
ParamReL
Official implement for ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks
WAVAE
amasawa's Repositories
amasawa/WAVAE
amasawa/ParamReL
Official implement for ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks
amasawa/amasawa.github.io
amasawa/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
amasawa/BDL-ReadingList
amasawa/blog
amasawa/blog-theme
Files needed to replicate my research blog
amasawa/ControlVAE-ICML2020
This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation, image generation
amasawa/Groupified-VAE
[ICLR 2022] code for "Towards building a group-based unsupervised representation disentanglement framework"
amasawa/last_layer_laplace
Last-layer Laplace approximation code examples
amasawa/LibVaes
A Library for VAEs advances in Deep Networks and Models for imge, sequence and tabular data.
amasawa/MicromsgHistory
导出并分析微信聊天记录，生成词云。
amasawa/xxxx
sasas
amasawa/ProgDiffusion