arashsaber / Deep-Convolutional-AutoEncoderLinks
This is a tutorial on creating a deep convolutional autoencoder with tensorflow.
☆60Updated 8 years ago
Alternatives and similar repositories for Deep-Convolutional-AutoEncoder
Users that are interested in Deep-Convolutional-AutoEncoder are comparing it to the libraries listed below
Sorting:
- This is an implementation of Convolutional AutoEncoder using only TensorFlow☆122Updated 6 years ago
- Semi-supervised Learning GAN☆81Updated 8 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- DICTOL - A Dictionary Learning Toolbox in Matlab and Python☆193Updated 4 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 7 years ago
- This is an example of using Tensorflow to build Sparse Autoencoder for representation learning.☆23Updated 8 years ago
- Implementation of a convolutional auto-encoder in PyTorch☆20Updated 7 years ago
- Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms☆172Updated 9 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆29Updated 7 years ago
- Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)☆43Updated 8 years ago
- Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (…☆155Updated 8 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆135Updated 2 years ago
- A Python implementation of well-known dictionary learning methods.☆74Updated 2 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆62Updated 8 years ago
- This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"☆89Updated 6 years ago
- Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset☆102Updated 8 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder:使用AE variant(de-noising / sparse / contractive AE)进行预训练,用BP算法进行微调☆44Updated 9 years ago
- There is the semi-supervised implement of 'Improved Techniques for Training GANs '☆147Updated 7 years ago
- ☆49Updated 7 years ago
- A wizard's guide to Adversarial Autoencoders☆431Updated 4 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆65Updated 7 years ago
- Implementation of the stacked denoising autoencoder in Tensorflow☆206Updated 7 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆123Updated 7 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- RBM/DBN implementation with tensorflow attempt project☆80Updated 9 years ago
- Sparse Autoencoders using FashionMNIST dataset☆35Updated 7 years ago
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 7 years ago
- Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"☆127Updated 7 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 2 years ago