zhiweiuk / sparse-autoencoder-tensorflowLinks
This is an example of using Tensorflow to build Sparse Autoencoder for representation learning.
☆23Updated 7 years ago
Alternatives and similar repositories for sparse-autoencoder-tensorflow
Users that are interested in sparse-autoencoder-tensorflow are comparing it to the libraries listed below
Sorting:
- This is a tutorial on creating a deep convolutional autoencoder with tensorflow.☆60Updated 8 years ago
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆24Updated 6 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 7 years ago
- Cluster Support Vector Data Description☆20Updated 8 years ago
- This is an implementation of Convolutional AutoEncoder using only TensorFlow☆119Updated 6 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆105Updated 3 years ago
- A wizard's guide to Adversarial Autoencoders☆434Updated 3 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆61Updated 7 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆147Updated 9 years ago
- ☆196Updated 3 years ago
- ☆89Updated 7 years ago
- Python implementation of Sparse Subspace Clustering algorithm.☆79Updated 7 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆131Updated last year
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36Updated 7 years ago
- Semi-supervised Regression GAN☆39Updated 5 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 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☆42Updated 8 years ago
- ☆51Updated 10 years ago
- ☆56Updated 5 years ago
- Pytorch Deep Clustering with Convolutional Autoencoders implementation☆105Updated 4 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆29Updated 7 years ago
- Sparse Autoencoders using FashionMNIST dataset☆35Updated 7 years ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆35Updated 8 years ago
- Conditional Wasserstein GANs☆73Updated 7 years ago
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 7 years ago
- ☆210Updated 4 years ago