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

• michaal94 / torch_DCEC
  Pytorch Deep Clustering with Convolutional Autoencoders implementation
  ☆105Updated 4 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆124Updated 4 years ago
• XifengGuo / DCEC
  ☆196Updated 3 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 …
  ☆134Updated last year
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆131Updated last year
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆28Updated 2 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆72Updated 5 years ago
• RomainSabathe / dagmm
  A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.
  ☆70Updated 5 years ago
• bfarzin / pytorch_aae
  Pytorch Adversarial Auto Encoder (AAE)
  ☆88Updated 6 years ago
• XifengGuo / ASPC-DA
  ☆24Updated 6 years ago
• sudiptodip15 / ClusterGAN
  Latent space clustering in Generative Adversarial Network (GAN)
  ☆105Updated 3 years ago
• Ralmohsen / OSRAAE
  Open-set Recognition with Adversarial Autoencoders
  ☆38Updated 6 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 6 years ago
• dawnranger / IDEC-pytorch
  Pytorch implementation of Improved Deep Embedded Clustering
  ☆105Updated 6 years ago
• kenya-sk / mc_dropout_tensorflow
  This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.
  ☆18Updated 2 years ago
• msseibel / DeepJDOT-pytorch
  Translation of DeepJDOT into pytorch.
  ☆10Updated 4 years ago
• ProcessMonitoringStellenboschUniversity / IFAC-VAE-Imputation
  Demonstration code for missing data imputation using Variational Autoencoders (VAE)
  ☆23Updated 6 years ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆59Updated last year
• WangXuhongCN / adVAE
  PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…
  ☆34Updated 4 years ago
• ngoc-nguyen-0 / DGG
  Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…
  ☆53Updated 5 years ago
• syorami / Autoencoders-Variants
  Pytorch implementations of various types of autoencoders
  ☆66Updated 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 4 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆102Updated 5 years ago
• AFAgarap / pt-clustering-ae
  Code implementation for "Improving k-Means Clustering Performance with Disentangled Internal Representations" by Agarap & Azcarraga (2020…
  ☆18Updated last year
• nairouz / DynAE
  ☆30Updated 3 years ago
• CharlesNord / DEC-pytorch
  ☆42Updated 7 years ago
• QingyuZhao / TruncatedGaussianMixtureVAE
  truncated Gaussian-Mixture Variational AutoEncoder
  ☆11Updated 6 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated last year
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆55Updated 6 years ago