skaae / rbm_toolboxLinks
mostly changes in RBM code. including PCD
☆33Updated 10 years ago
Alternatives and similar repositories for rbm_toolbox
Users that are interested in rbm_toolbox are comparing it to the libraries listed below
Sorting:
- Matlab Environment for Deep Architecture Learning☆109Updated 11 years ago
- Code for a convolutional autoencoder written on python, theano, lasagne, nolearn☆169Updated 7 years ago
- Implementation of several different types of autoencoders☆116Updated 2 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 7 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆154Updated 2 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆189Updated 10 years ago
- ☆76Updated 8 years ago
- Keras autoencoders (convolutional/fcc) [proof of concept]☆175Updated 5 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆147Updated 9 years ago
- Learning joint representation with a Multimodal Deep Boltzmann Machine☆39Updated 8 years ago
- This is my solution for Andrew Ng's UFLDL Tutorial. It is used as an reference for checking the correctness of your written code☆21Updated 9 years ago
- This is a caffe implementation to visualize the learnt model☆59Updated 3 years ago
- Extra Layers for Keras to connect CNN with RNN☆154Updated 9 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆156Updated 7 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- TF Implementation of Convolutional Variational Autoencoder.☆24Updated 6 years ago
- Conditional generative adversarial networks for convolutional face generation☆100Updated 9 years ago
- Active learning toolbox for MATLAB☆46Updated 7 years ago
- Implementation of a Variational Auto-Encoder in TensorFlow☆209Updated 8 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- Chainer implementation of adversarial autoencoder (AAE)☆257Updated 7 years ago
- Fully differentiable deep-neural decision forest in tensorflow☆229Updated 7 years ago
- Modular Restricted Boltzmann Machine (RBM) implementation using Theano☆174Updated 12 years ago
- Implementation of a Variational Auto-Encoder in Theano☆380Updated 7 years ago
- Deep metric learning using Triplet network☆189Updated 8 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆37Updated 4 years ago
- Collection of autoencoders written in Keras☆37Updated 8 years ago
- Implementation of Variational Auto-Encoder in Torch7☆267Updated 8 years ago
- Theano-based implementation of Deep Semi-NMF.☆114Updated 9 years ago