Ktakuya332C / dbm
Simple implementation of Deep Boltzmann Machine
☆14Updated 5 years ago
Related projects: ⓘ
- ☆51Updated 7 years ago
- Convolutional Deep Belief Networks with 'MATLAB','MEX','CUDA' versions☆35Updated 8 years ago
- Convolutional Restricted Boltzmann Machine☆15Updated 7 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆42Updated 7 years ago
- Learning joint representation with a Multimodal Deep Boltzmann Machine☆39Updated 7 years ago
- Generative Adversarial Nets for Matlab☆36Updated 7 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆32Updated 6 years ago
- Contractive Auto-Encoders in Numpy☆14Updated 12 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆35Updated 6 years ago
- This is a tutorial on creating a deep convolutional autoencoder with tensorflow.☆57Updated 7 years ago
- This is an implementation of Convolutional AutoEncoder using only TensorFlow☆117Updated 5 years ago
- ☆88Updated 6 years ago
- ☆40Updated 8 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 6 years ago
- A collection of CNN structures, contains PyTorch Implementation and Netscope Visualization.☆39Updated 6 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆71Updated 5 years ago
- Tensor Train Rank-1 decomposition☆18Updated 5 years ago
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 8 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 5 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- Implementation of a convolutional auto-encoder in PyTorch☆18Updated 5 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆146Updated 8 years ago
- A collection of Python tools for feature extraction and image classification using Sparse Coding algorithms.☆70Updated 5 years ago
- Convolutional Variational Autoencoder☆34Updated 4 years ago
- MATLAB Tensor Tools☆83Updated 3 years ago
- Restricted Boltzmann Machines (RBMs) in PyTorch☆153Updated 6 years ago
- This repository has implementation and tutorial for Deep Belief Network☆100Updated 5 years ago
- Online Sequential Extreme Learning Machine with TensorFlow☆33Updated 8 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆69Updated 12 years ago
- Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)☆43Updated 7 years ago