nmeripo / Reducing-the-Dimensionality-of-Data-with-Neural-Networks
Implementation of G. E. Hinton and R. R. Salakhutdinov's Reducing the Dimensionality of Data with Neural Networks (Tensorflow)
☆37Updated 6 months ago
Alternatives and similar repositories for Reducing-the-Dimensionality-of-Data-with-Neural-Networks:
Users that are interested in Reducing-the-Dimensionality-of-Data-with-Neural-Networks are comparing it to the libraries listed below
- This repository has implementation and tutorial for Deep Belief Network☆102Updated 6 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- Pytorch Deep Clustering with Convolutional Autoencoders implementation☆103Updated 4 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆130Updated last year
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆127Updated last year
- Demonstration code for missing data imputation using Variational Autoencoders (VAE)☆24Updated 5 years ago
- A toy example of VAE-regression network☆72Updated 4 years ago
- An encoder-decoder framework for learning from incomplete data☆46Updated last year
- ☆159Updated 7 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆104Updated 3 years ago
- ☆54Updated 5 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆32Updated 6 years ago
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆18Updated 6 years ago
- SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data☆40Updated 3 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆46Updated 5 years ago
- Pytorch implementations of various types of autoencoders☆67Updated 6 years ago
- Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).☆55Updated 5 years ago
- ☆25Updated 5 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆101Updated 6 years ago
- ☆51Updated 7 years ago
- pytorch implementation of stacked denoising autoencoder☆20Updated 7 years ago
- ☆192Updated 2 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆129Updated 4 years ago
- ☆17Updated 7 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 4 years ago
- Deep Feature Selection using Teacher Student Network☆43Updated 5 years ago
- Variational Autoencoder and Classifier hybrid☆25Updated 5 years ago