Alternatives and similar repositories for Reducing-the-Dimensionality-of-Data-with-Neural-Networks

Users that are interested in Reducing-the-Dimensionality-of-Data-with-Neural-Networks are comparing it to the libraries listed below

• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆124Updated 4 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆132Updated last year
• michaal94 / torch_DCEC
  Pytorch Deep Clustering with Convolutional Autoencoders implementation
  ☆105Updated 4 years ago
• snehchav / Semi-Supervised-Image-Classification
  The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…
  ☆18Updated 7 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆131Updated last year
• MaziarMF / deep-k-means
  ☆96Updated 6 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 5 years ago
• UCI-ML-course-team / gan-manifold-regularization-PyTorch
  PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].
  ☆20Updated 4 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆88Updated 6 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆28Updated 2 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 6 years ago
• XifengGuo / DCEC
  ☆196Updated 2 years ago
• dawnranger / IDEC-pytorch
  Pytorch implementation of Improved Deep Embedded Clustering
  ☆103Updated 6 years ago
• sudiptodip15 / ClusterGAN
  Latent space clustering in Generative Adversarial Network (GAN)
  ☆105Updated 3 years ago
• zhiweiuk / sparse-autoencoder-tensorflow
  This is an example of using Tensorflow to build Sparse Autoencoder for representation learning.
  ☆23Updated 7 years ago
• XifengGuo / IDEC
  ☆162Updated 8 years ago
• ksalsw1996 / pytorch_DAE
  pytorch implementation of stacked denoising autoencoder
  ☆20Updated 7 years ago
• FlorentF9 / DESOM
  Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
  ☆97Updated last year
• xdxuyang / Deep-Spectral-Clustering-using-Dual-Autoencoder-Network
  ☆56Updated 5 years ago
• kenya-sk / mc_dropout_tensorflow
  This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.
  ☆18Updated 2 years ago
• golmschenk / sr-gan
  Semi-supervised Regression GAN
  ☆39Updated 5 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆58Updated last year
• nnormandin / Conditional_VAE
  conditional variational autoencoder written in Keras [not actively maintained]
  ☆96Updated 7 years ago
• CharlesNord / DEC-pytorch
  ☆42Updated 7 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆30Updated 3 years ago
• jsyoon0823 / MRNN
  Multi-directional Recurrent Neural Networks (MRNN) - IEEE TBME 2019
  ☆41Updated 5 years ago
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆55Updated 6 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆102Updated 5 years ago