mehulrastogi / Deep-Belief-Network-pytorchLinks
This repository has implementation and tutorial for Deep Belief Network
☆101Updated 6 years ago
Alternatives and similar repositories for Deep-Belief-Network-pytorch
Users that are interested in Deep-Belief-Network-pytorch are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- conditional variational autoencoder written in Keras [not actively maintained]☆96Updated 7 years ago
- Restricted Boltzmann Machines (RBMs) in PyTorch☆162Updated 7 years ago
- ☆52Updated 7 years ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆304Updated 7 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆210Updated 5 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆131Updated last year
- ☆25Updated 6 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- Extreme Learning Machine implemented in Pytorch☆103Updated 7 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆136Updated 2 years ago
- ☆196Updated 3 years ago
- Library of transfer learners and domain-adaptive classifiers.☆92Updated 6 years ago
- Stacked Denoising AutoEncoder☆78Updated 5 years ago
- ☆163Updated 8 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆425Updated 3 years ago
- Code supporting the paper "Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Pr…☆70Updated 6 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆105Updated 3 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆196Updated 2 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- LSTM and GRU in PyTorch☆261Updated 6 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆33Updated 7 years ago
- Unsupervised clustering with (Gaussian mixture) VAEs☆298Updated 8 years ago
- A package for Multiple Kernel Learning in Python☆129Updated 2 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆341Updated 4 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- Demonstration code for missing data imputation using Variational Autoencoders (VAE)☆23Updated 6 years ago
- Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchic…☆132Updated 3 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆213Updated 5 years ago