Alternatives and similar repositories for wavenet:

Users that are interested in wavenet are comparing it to the libraries listed below

• teganmaharaj / zoneout
  Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.
  ☆78Updated 7 years ago
• ermongroup / Generalized-PixelVAE
  PixelVAE with or without regularization
  ☆66Updated 7 years ago
• jmtomczak / vae_vpflows
  Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling
  ☆91Updated 7 years ago
• jmtomczak / vae_householder_flow
  Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
  ☆75Updated 7 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 9 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 7 years ago
• dhpollack / fast-wavenet.pytorch
  A PyTorch implementation of fast-wavenet
  ☆91Updated 6 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 7 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆58Updated 7 years ago
• ermongroup / Sequential-Variational-Autoencoder
  Implementation of Sequential Variational Autoencoder
  ☆85Updated 7 years ago
• JeremyCCHsu / Gumbel-Softmax-VAE-in-tensorflow
  Semi-Supervised Learning with Categorical VAE (experimented on MNIST)
  ☆28Updated 7 years ago
• nakosung / VQ-VAE
  VQ-VAE implementation / pytorch
  ☆181Updated 7 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• igul222 / PixelVAE
  Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013
  ☆93Updated 7 years ago
• igul222 / nn
  All of my deep learning work in one big repo.
  ☆12Updated 7 years ago
• bioinf-jku / coulomb_gan
  Implementation of Coulomb GANs
  ☆62Updated 3 years ago
• crcrpar / chainer-VAE
  DEPRECATED!!! the same as official VAE example, but using Trainer in this repo
  ☆30Updated 6 years ago
• TimSalimans / weight_norm
  Lasagne code for weight normalization
  ☆87Updated 8 years ago
• jtkim-kaist / ram_modified
  "Recurrent Models of Visual Attention" in TensorFlow
  ☆42Updated 7 years ago
• igul222 / pixel_rnn
  Working Theano implementation of Pixel RNN on MNIST.
  ☆76Updated 8 years ago
• rdevon / BGAN
  boundary-seeking generative adversarial networks
  ☆46Updated 7 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆56Updated 6 years ago
• amujika / Fast-Slow-LSTM
  ☆93Updated 7 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆23Updated 7 years ago
• hjweide / adversarial-autoencoder
  A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.
  ☆41Updated 8 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 4 years ago
• caglar / dntm
  D-NTM paper repo
  ☆26Updated 7 years ago
• aleju / gan-error-avoidance
  Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
  ☆23Updated 7 years ago
• kefirski / bdir_vae
  simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch
  ☆53Updated 7 years ago