chandrasg / CDBNLinks
Convolutional Deep Belief Network (Honglak Lee's ICML paper)
☆23Updated 9 years ago
Alternatives and similar repositories for CDBN
Users that are interested in CDBN are comparing it to the libraries listed below
Sorting:
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆191Updated 10 years ago
- Sparse Filtering☆220Updated 13 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆60Updated 14 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆149Updated 9 years ago
- ☆40Updated 9 years ago
- This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…☆75Updated 13 years ago
- Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder☆65Updated 11 years ago
- Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independe…☆17Updated 8 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- Vectorized multimodal LSTM using Matlab and GPU☆32Updated 9 years ago
- GPU accelerated Deep Belief Network☆46Updated 10 years ago
- ☆140Updated 7 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 7 years ago
- Scattering Network for Matlab☆90Updated 6 years ago
- ☆76Updated 8 years ago
- Regularized marginalized Stacked Denoising Autoencoders for Domain Adaptation☆12Updated 8 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 4 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- Matlab implementation of Implicit mixtures of Conditional Restricted Boltzmann Machines.☆25Updated 5 years ago
- Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0☆128Updated 6 years ago
- ☆19Updated 10 years ago
- A CUDA implementation of non-negative matrix factorization for GPUs.☆34Updated 7 years ago
- The Matlab Code for the AISTATS 2015 paper "Learning Deep Sigmoid Belief Network with Data Augmentation"☆13Updated 10 years ago
- Semi-supervised InfoGAN☆25Updated 7 years ago
- Stacked Denoising Auto-Encoder in Theano. Using the mnist dataset.☆14Updated 9 years ago
- Code to demonstrate multimodal LSTM☆36Updated 2 years ago
- Matlab Environment for Deep Architecture Learning☆109Updated 11 years ago
- Unofficial fork of the Code used in the paper "Discriminative Unsupervised Feature Learning with Convolutional Neural Networks", NIPS 201…☆16Updated 8 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated last year