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
  ☆51Updated 7 years ago
• GabrielBianconi / pytorch-rbm
  Restricted Boltzmann Machines (RBMs) in PyTorch
  ☆161Updated 6 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆124Updated 4 years ago
• nnormandin / Conditional_VAE
  conditional variational autoencoder written in Keras [not actively maintained]
  ☆96Updated 7 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 6 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆130Updated last year
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆86Updated 6 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆77Updated 5 years ago
• AmanPriyanshu / Deep-Belief-Networks-in-PyTorch
  The aim of this repository is to create RBMs, EBMs and DBNs in generalized manner, so as to allow modification and variation in model typ…
  ☆62Updated 7 months ago
• psanch21 / VAE-GMVAE
  This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures
  ☆209Updated 4 years ago
• ldeecke / vae-torch
  Variational autoencoder for anomaly detection (in PyTorch).
  ☆48Updated 5 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆124Updated 2 years ago
• 2015xli / DBN
  Simple code tutorial for deep belief network (DBN)
  ☆46Updated 4 years ago
• atinghosh / VAE-pytorch
  Variational auto encoder in pytorch
  ☆56Updated 6 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆28Updated 2 years ago
• bynchang / semi-supervised-VAE
  implementation of semi-supervised VAE using pytorch
  ☆11Updated 5 years ago
• ethanluoyc / pytorch-vae
  A Variational Autoencoder (VAE) implemented in PyTorch
  ☆422Updated 2 years ago
• o-tawab / Variational-Autoencoder-pytorch
  Implementation of a convolutional Variational-Autoencoder model in pytorch.
  ☆74Updated 6 years ago
• mori97 / VaDE
  A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)
  ☆38Updated 4 years ago
• coolvision / vae_conv
  Convolutional variational autoencoder in PyTorch
  ☆46Updated 7 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆91Updated 4 years ago
• RomainSabathe / dagmm
  A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.
  ☆69Updated 4 years ago
• giannisnik / som
  Pytorch implementation of a Self-Organizing Map
  ☆88Updated 6 years ago
• fanzhenya / ResNet1D-VariableLengthPooling-For-TimeSeries
  ResNet-1D and Variable Length Pooling for time series data like speech
  ☆33Updated 6 years ago
• ry85 / VAE-GAN
  Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"
  ☆43Updated 5 years ago
• ReyhaneAskari / pytorch_experiments
  Auto Encoders in PyTorch
  ☆63Updated 7 years ago
• twairball / keras_lstm_vae
  Keras implementation of LSTM Variational Autoencoder
  ☆227Updated 5 years ago
• slim1017 / VaDE
  Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
  ☆299Updated 7 years ago
• gtoubassi / mnist-vae
  Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …
  ☆32Updated 7 years ago