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☆119Updated 6 years ago
- Semi-supervised Learning GAN☆81Updated 7 years ago
- This is an example of using Tensorflow to build Sparse Autoencoder for representation learning.☆23Updated 7 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 7 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆122Updated 6 years ago
- Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset☆102Updated 8 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆147Updated 9 years ago
- Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (…☆153Updated 7 years ago
- Implementation of a convolutional auto-encoder in PyTorch☆21Updated 6 years ago
- Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"☆24Updated 7 years ago
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 7 years ago
- Extreme Learning Machine implemented in Pytorch☆103Updated 7 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆29Updated 7 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆131Updated last year
- A wizard's guide to Adversarial Autoencoders☆434Updated 3 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"☆88Updated 6 years ago
- Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"☆45Updated 6 years ago
- ☆49Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CN…☆97Updated 6 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆61Updated 7 years ago
- Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"☆127Updated 6 years ago
- Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)☆43Updated 8 years ago
- Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras☆37Updated 6 years ago
- There is the semi-supervised implement of 'Improved Techniques for Training GANs '☆147Updated 7 years ago
- Implementation of Densely Connected Convolutional Network with Keras and TensorFlow.☆43Updated 5 years ago
- Implementation of Adversarial Autoencoder in Keras☆32Updated 7 years ago
- A Python implementation of PCANet https://arxiv.org/abs/1404.3606☆149Updated 6 years ago
- Implementation of the stacked denoising autoencoder in Tensorflow☆203Updated 6 years ago