There are no reviews yet. Be the first to send feedback to the community and the maintainers!
pytorch_RVAE
Recurrent Variational Autoencoder that generates sequential data implemented with pytorchpytorch_NEG_loss
NEG loss implemented in pytorchpytorch_Highway
Highway network implemented in pytorchpytorch_TDNN
Time Delayed NN implemented in pytorchcontiguous-succotash
Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorchbdir_vae
simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorchvariational_dropout
Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorchbytenet
Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paperhybrid_rvae
pytorch implementation of "A Hybrid Convolutional Variational Autoencoder for Text Generation" Paperamt
Adversarial Machine Translation with pytorchattentive-translation
pytorch Transformer model with byte-pair encodingRGAN
cvade
Conditional Variational Deep Embeddingsam-cp-ml
ContRVAE
Contiguous Recurrent Variational Autoencodervk_clustering
functional-enigma
Transformer network for text summarizingspbu
SPbU iOS applicationptb_batchloader
Batchloader for Penn Treebank datasetzarya
Hyperbolic Neural Networks for PyTorchCDVAE
mnist_cdvae
Π‘ross Domain Autoencoding Variational Bayes Algorithm on MNISTLove Open Source and this site? Check out how you can help us