zhiweiuk / sparse-autoencoder-tensorflowLinks
This is an example of using Tensorflow to build Sparse Autoencoder for representation learning.
☆23Updated 8 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
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆62Updated 8 years ago
- Cluster Support Vector Data Description☆20Updated 8 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 7 years ago
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆23Updated 7 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆150Updated 10 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆107Updated 4 years ago
- ☆197Updated 3 years ago
- Pytorch Deep Clustering with Convolutional Autoencoders implementation☆108Updated 5 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆29Updated 8 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆127Updated 5 years ago
- This is an implementation of Convolutional AutoEncoder using only TensorFlow☆122Updated 6 years ago
- A Python implementation of well-known dictionary learning methods.☆74Updated 2 years ago
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 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).☆26Updated 7 years ago
- Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).☆59Updated 6 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆135Updated 2 years ago
- ☆57Updated 6 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆36Updated 8 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 5 years ago
- A wizard's guide to Adversarial Autoencoders☆433Updated 4 years ago
- Python implementation of Sparse Subspace Clustering algorithm.☆82Updated 7 years ago
- Implementation of autoencoders in PyTorch☆57Updated 8 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36Updated 7 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 6 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆55Updated 7 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 8 years ago
- implementation of BiGAN model using tensorflow☆16Updated 7 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆138Updated 6 years ago