Alternatives and similar repositories for Deep-Belief-Network-pytorch

Users that are interested in Deep-Belief-Network-pytorch are comparing it to the libraries listed below

• wmingwei / restricted-boltzmann-machine-deep-belief-network-deep-boltzmann-machine-in-pytorch
  ☆52Updated 8 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆124Updated 4 years ago
• GabrielBianconi / pytorch-rbm
  Restricted Boltzmann Machines (RBMs) in PyTorch
  ☆162Updated 7 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆132Updated 2 years ago
• nnormandin / Conditional_VAE
  conditional variational autoencoder written in Keras [not actively maintained]
  ☆97Updated 7 years ago
• chickenbestlover / ELM-pytorch
  Extreme Learning Machine implemented in Pytorch
  ☆103Updated 7 years ago
• slim1017 / VaDE
  Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
  ☆305Updated 7 years ago
• tijiang13 / Semi-supervised-VAE
  ☆24Updated 6 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆79Updated 5 years ago
• ethanluoyc / pytorch-vae
  A Variational Autoencoder (VAE) implemented in PyTorch
  ☆427Updated 3 years ago
• emadRad / lstm-gru-pytorch
  LSTM and GRU in PyTorch
  ☆262Updated 6 years ago
• mori97 / VaDE
  A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)
  ☆39Updated 4 years ago
• Eilene / GWNN
  A TensorFlow implementation of Graph Wavelet Neural Network
  ☆65Updated 6 years ago
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• 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
• ratschlab / SOM-VAE
  TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199
  ☆197Updated 2 years ago
• ermongroup / ssdkl
  Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
  ☆76Updated 6 years ago
• XifengGuo / DCEC
  ☆197Updated 3 years ago
• ssamot / DANN-keras
  A simple implementation of domain adversarial training with GAN loss in Keras
  ☆58Updated 7 years ago
• fanzhenya / ResNet1D-VariableLengthPooling-For-TimeSeries
  ResNet-1D and Variable Length Pooling for time series data like speech
  ☆33Updated 6 years ago
• jariasf / GMVAE
  Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering
  ☆343Updated 4 years ago
• atinghosh / VAE-pytorch
  Variational auto encoder in pytorch
  ☆57Updated 6 years ago
• Michaelvll / DeepCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with pytorch.
  ☆316Updated 2 years ago
• bynchang / semi-supervised-VAE
  implementation of semi-supervised VAE using pytorch
  ☆11Updated 5 years ago
• GuHY777 / VaDE-pytorch
  the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch
  ☆137Updated 2 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆92Updated 6 years ago
• hosseinshn / Basic-Multi-task-Learning
  This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
  ☆136Updated 6 years ago
• sksq96 / pytorch-vae
  A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
  ☆301Updated 5 years ago
• sudiptodip15 / ClusterGAN
  Latent space clustering in Generative Adversarial Network (GAN)
  ☆107Updated 3 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆55Updated 6 years ago