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
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- Semi-supervised Learning GAN☆81Updated 8 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆29Updated 7 years ago
- Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (…☆155Updated 8 years ago
- RBM/DBN implementation with tensorflow attempt project☆80Updated 9 years ago
- This is an example of using Tensorflow to build Sparse Autoencoder for representation learning.☆23Updated 8 years ago
- Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset☆102Updated 8 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆135Updated 2 years ago
- ☆49Updated 7 years ago
- Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras☆37Updated 7 years ago
- Implementation of the stacked denoising autoencoder in Tensorflow☆206Updated 7 years ago
- Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"☆24Updated 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
- 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
- This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"☆89Updated 6 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆26Updated 7 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- DICTOL - A Dictionary Learning Toolbox in Matlab and Python☆193Updated 4 years ago
- Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)☆43Updated 8 years ago
- Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.☆33Updated 8 years ago
- Implementation of Adversarial Autoencoder in Keras☆31Updated 7 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆62Updated 8 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 7 years ago
- Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms☆172Updated 9 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated 2 years ago
- Sparse Autoencoders using FashionMNIST dataset☆35Updated 7 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆127Updated 5 years ago