Alternatives and similar repositories for stcn

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

• lyprince / sdtw_pytorch
  Implementation of soft dynamic time warping in pytorch
  ☆99Updated 3 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆87Updated 6 years ago
• laiguokun / SWaveNet
  ☆24Updated 5 years ago
• geniki / neural-processes
  PyTorch implementation of Neural Processes
  ☆89Updated 6 years ago
• Nat-D / GMVAE
  Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
  ☆214Updated 5 years ago
• limbo018 / FRU
  ☆40Updated 7 years ago
• RuiShu / cvae
  Conditional variational autoencoder implementation in Torch
  ☆105Updated 9 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 6 years ago
• Sunnydreamrain / IndRNN_pytorch
  Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
  ☆137Updated 4 years ago
• yatindandi / Disentangled-Sequential-Autoencoder
  Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…
  ☆106Updated 6 years ago
• zalandoresearch / pytorch-dilated-rnn
  Dilated RNNs in pytorch
  ☆213Updated 6 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 7 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆91Updated 7 years ago
• tkkiran / Robust-Conditional-GAN
  Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018
  ☆40Updated 6 years ago
• tijiang13 / Semi-supervised-VAE
  ☆24Updated 6 years ago
• emited / VariationalRecurrentNeuralNetwork
  Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
  ☆286Updated 3 years ago
• Orkis-Research / Quaternion-Recurrent-Neural-Networks
  This is the code for the paper 'Quaternion Recurrent Neural Networks'.
  ☆59Updated 6 years ago
• dimkastan / PyTorch-Spectral-clustering
  [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch
  ☆163Updated 7 years ago
• geosada / LVAE
  LVAE: Ladder Variational Auto-Encoders (NIPS 2016) with TensorFlow.
  ☆16Updated 7 years ago
• Orkis-Research / Pytorch-Quaternion-Neural-Networks
  This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch
  ☆214Updated 5 years ago
• google / vae-seq
  Variational Auto-Encoders in a Sequential Setting.
  ☆175Updated 7 years ago
• StefOe / indrnn-pytorch
  pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831
  ☆121Updated 6 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• google / wasserstein-dist
  tensorflow implementation of the Wasserstein (aka optimal transport) distance
  ☆72Updated 4 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆103Updated 6 years ago
• apsarath / NRU
  ☆22Updated 6 years ago
• rtanno21609 / AdaptiveNeuralTrees
  Adaptive Neural Trees
  ☆155Updated 6 years ago
• psanch21 / VAE-GMVAE
  This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
  ☆210Updated 5 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 6 years ago