kefirski/variational_dropout

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Python
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MIT License
Created about 7 years ago
Updated about 7 years ago

kefirski/variational_dropout

kefirski

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Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch

pytorch_RVAE

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

pytorch_NEG_loss

NEG loss implemented in pytorch

pytorch_Highway

Highway network implemented in pytorch

pytorch_TDNN

Time Delayed NN implemented in pytorch

contiguous-succotash

Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

bdir_vae

simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch

bytenet

Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper

hybrid_rvae

pytorch implementation of "A Hybrid Convolutional Variational Autoencoder for Text Generation" Paper

amt

Adversarial Machine Translation with pytorch

pytorch_GloVe

simple pytorch GloVe implementation

attentive-translation

pytorch Transformer model with byte-pair encoding

RGAN

cvade

Conditional Variational Deep Embeddings

am-cp-ml

Jupyter Notebook

ContRVAE

Contiguous Recurrent Variational Autoencoder

vk_clustering

functional-enigma

Transformer network for text summarizing

spbu

SPbU iOS application

ptb_batchloader

Batchloader for Penn Treebank dataset

zarya

Hyperbolic Neural Networks for PyTorch

CDVAE

mnist_cdvae

Сross Domain Autoencoding Variational Bayes Algorithm on MNIST