yuhsinliu1993 / CNN_AUTOENCODER

Related projects ⓘ

Alternatives and complementary repositories for CNN_AUTOENCODER

• animebing / mnist_tsne
  t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
  ☆63Updated 6 years ago
• Seratna / TensorFlow-Convolutional-AutoEncoder
  This is an implementation of Convolutional AutoEncoder using only TensorFlow
  ☆118Updated 5 years ago
• yanzhicong / VAE-GAN
  Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"
  ☆44Updated 5 years ago
• ngailapdi / autoencoder
  Implementation of a convolutional auto-encoder in PyTorch
  ☆18Updated 6 years ago
• arashsaber / Deep-Convolutional-AutoEncoder
  This is a tutorial on creating a deep convolutional autoencoder with tensorflow.
  ☆57Updated 7 years ago
• hui-po-wang / Pytorch-VAE-GAN
  Pytorch implementation of Autoencoding beyond Pixels Using a Learned Similarity Metric
  ☆29Updated 6 years ago
• bianjiang1234567 / CVAE-GAN-BASED-Anomaly-Detection
  A Novel and Efficient CVAE-GAN-BASED Approach with Informative Manifold for Semi-Supervised Anomaly Detection
  ☆13Updated 5 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 6 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 6 years ago
• vbezgachev / semi-supervised-gan
  PyTorch implementation of semi-supervised GAN
  ☆14Updated 6 years ago
• MrGiovanni / Active-Learning
  [CVPR 2017] Official Implementation for AIFT
  ☆93Updated 3 years ago
• o-tawab / Variational-Autoencoder-pytorch
  Implementation of a convolutional Variational-Autoencoder model in pytorch.
  ☆74Updated 5 years ago
• tund / D2GAN
  Dual Discriminator Generative Adversarial Nets
  ☆62Updated 6 years ago
• wuga214 / IMPLEMENTATION_Variational-Auto-Encoder
  Simple implementation of Variational Autoencoder
  ☆100Updated 6 years ago
• Abhipanda4 / Sparse-Autoencoders
  Sparse Autoencoders using FashionMNIST dataset
  ☆35Updated 6 years ago
• LDOUBLEV / semi-supervised-GAN
  There is the semi-supervised implement of 'Improved Techniques for Training GANs '
  ☆145Updated 6 years ago
• ShayanPersonal / stacked-autoencoder-pytorch
  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
  ☆123Updated last year
• chalmersgit / EMD
  Computes the Earth Mover's Distance between two distributions using Scipy
  ☆29Updated 3 years ago
• shucunt / domain_adaptation
  this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wust…
  ☆62Updated 7 years ago
• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆44Updated 5 years ago
• TwistedW / tensorflow-GANs
  各类GAN综合在一起，借鉴了hwalsuklee大神的
  ☆322Updated 5 years ago
• trigrass2 / wgan-gp-anomaly
  gan, wgan-gp, anomaly detection, unsupervised, pytorch
  ☆29Updated 6 years ago
• SongDark / timeseries_infogan
  InfoGAN to generate temporal sequences.
  ☆25Updated 5 years ago
• rosenfeldamir / incremental_learning
  Initial Code for the paper "incremental learning through deep adaptation"
  ☆49Updated 5 years ago
• tkazusa / CVAE-GAN
  ☆86Updated 6 years ago
• bojone / gan
  some demo of GANs
  ☆274Updated 5 years ago
• wanglouis49 / pytorch-autoencoders
  Implementation of autoencoders in PyTorch
  ☆58Updated 6 years ago
• rookiedata1 / Keras-CNN-mnist-classification
  LeNet, AleNet, VGGNet, GoogleNet, ResNet are used for MNIST dataset based on keras.
  ☆15Updated 5 years ago
• kaushiksk / RBM_DBN
  Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
  ☆33Updated 7 years ago
• asahi417 / DeepDomainAdaptation
  Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…
  ☆26Updated 5 years ago