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
- ☆52Updated 7 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆131Updated last year
- Restricted Boltzmann Machines (RBMs) in PyTorch☆162Updated 7 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- conditional variational autoencoder written in Keras [not actively maintained]☆96Updated 7 years ago
- ☆25Updated 6 years ago
- Stacked Denoising AutoEncoder☆79Updated 5 years ago
- Library of transfer learners and domain-adaptive classifiers.☆92Updated 6 years ago
- Extreme Learning Machine implemented in Pytorch☆103Updated 7 years ago
- LSTM and GRU in PyTorch☆262Updated 6 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆210Updated 5 years ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆305Updated 7 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆427Updated 3 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆136Updated 2 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- ResNet-1D and Variable Length Pooling for time series data like speech☆33Updated 6 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆76Updated 6 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆70Updated 5 years ago
- implementation of semi-supervised VAE using pytorch☆11Updated 5 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Updated 6 years ago
- Implementation of simple autoencoders networks with Keras☆243Updated 5 years ago
- ☆196Updated 3 years ago
- Variational auto encoder in pytorch☆57Updated 6 years ago
- pytorch >>> 快速搭建自己的模型！☆124Updated 2 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 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
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- A simple implementation of domain adversarial training with GAN loss in Keras☆58Updated 7 years ago