lyeoni / keras-mnist-CVAE

Related projects: ⓘ

• nnormandin / Conditional_VAE
  conditional variational autoencoder written in Keras [not actively maintained]
  ☆96Updated 6 years ago
• DeepWolf90 / LSTM-based-Stacked-Autoencoder
  ☆18Updated 3 years ago
• crmaximo / VAEGAN
  Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"
  ☆53Updated 6 years ago
• ProcessMonitoringStellenboschUniversity / IFAC-VAE-Imputation
  Demonstration code for missing data imputation using Variational Autoencoders (VAE)
  ☆23Updated 5 years ago
• MadhumitaSushil / SDAE
  Stacked Denoising AutoEncoder
  ☆74Updated 4 years ago
• alimirzaei / adverserial-autoencoder-keras
  Keras Implementation of adverserial autoencoder (AAE)
  ☆56Updated 5 years ago
• waylongo / Gans-for-anomaly-detection
  Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data
  ☆13Updated 5 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 5 years ago
• cameronfabbri / cWGANs
  Conditional Wasserstein GANs
  ☆71Updated 6 years ago
• rcamino / imputation-dgm
  Code for the paper "Improving Missing Data Imputation with Deep Generative Models"
  ☆30Updated 5 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆25Updated 2 years ago
• QingyuZhao / VAE-for-Regression
  A toy example of VAE-regression network
  ☆70Updated 4 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆38Updated 3 years ago
• ksalsw1996 / pytorch_DAE
  pytorch implementation of stacked denoising autoencoder
  ☆20Updated 6 years ago
• mehulrastogi / Deep-Belief-Network-pytorch
  This repository has implementation and tutorial for Deep Belief Network
  ☆100Updated 5 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆121Updated last year
• gtoubassi / mnist-vae
  Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …
  ☆31Updated 6 years ago
• CLaraRR / autoencoder_practice
  AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
  ☆39Updated 4 years ago
• bhpfelix / PyTorch-Time-Series-Classification-Benchmarks
  Time Series Classification Benchmark with LSTM, VGG, ResNet
  ☆59Updated 6 years ago
• hk-mp5a3 / Class-Imbalance
  Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).
  ☆37Updated 6 years ago
• vlukiyanov / pt-sdae
  PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
  ☆119Updated 3 years ago
• Tigeryang93 / cnn-with-xgboost
  This repository is codeabout cnn with xgboost
  ☆31Updated 6 years ago
• sumanth-bmsce / Deep-Neural-Network-for-Clustering
  Autoencoders - a deep neural network was used for feature extraction followed by clustering of the "Cancer" dataset using k-means techni…
  ☆13Updated 6 years ago
• abhisheksambyal / Autoencoders-using-Pytorch-Medical-Imaging
  Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining
  ☆45Updated 5 years ago
• euranova / DAEMA
  This code reproduces the results presented in the paper "DAEMA: Denoising Autoencoder with Mask Attention" accepted at the ICANN 2021 con…
  ☆14Updated 3 years ago
• rezacsedu / Multimodal-autoencoder-for-breast-cancer
  Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data
  ☆24Updated 5 years ago
• mkirchmeyer / ganRegression
  ☆33Updated 5 years ago
• nejlag / Semi-Supervised-Learning-GAN
  Semi-supervised Learning GAN
  ☆80Updated 6 years ago
• 2015xli / DBN
  Simple code tutorial for deep belief network (DBN)
  ☆44Updated 3 years ago
• atreyasha / mv-temporal-rgan
  Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…
  ☆24Updated last month