lucastheis / deepbeliefLinks
Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
☆60Updated 14 years ago
Alternatives and similar repositories for deepbelief
Users that are interested in deepbelief are comparing it to the libraries listed below
Sorting:
- 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
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- GPU accelerated Deep Belief Network☆46Updated 10 years ago
- Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation☆147Updated 9 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆154Updated 2 years ago
- RBM/DBN implementation with tensorflow attempt project☆80Updated 9 years ago
- ☆89Updated 7 years ago
- Keras autoencoders (convolutional/fcc) [proof of concept]☆175Updated 5 years ago
- Collection of autoencoders written in Keras☆37Updated 8 years ago
- ☆76Updated 8 years ago
- conditional generative adversarial network☆16Updated 8 years ago
- Matlab Environment for Deep Architecture Learning☆109Updated 11 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- Implementation of a Variational Auto-Encoder in TensorFlow☆209Updated 8 years ago
- A CNN with an attentional module that I built while attending the brains minds and machines summer course☆68Updated 6 years ago
- Cost-Sensitive Support Vector Machines☆33Updated 9 years ago
- Deep variational inference in tensorflow☆56Updated 7 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 8 years ago
- Local Receptive Fields Based Extreme Learning Machine☆30Updated 9 years ago
- Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders☆189Updated 10 years ago
- Code for a convolutional autoencoder written on python, theano, lasagne, nolearn☆169Updated 7 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- A Convolutional Neural Network based model for Unsupervised Learning☆33Updated 7 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆18Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- Convolutional Deep Belief Network (Honglak Lee's ICML paper)☆23Updated 9 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆156Updated 7 years ago
- ☆40Updated 8 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago