A collection of extensions library for Keras

Includes:

Restricted Boltzmann Machine (RBM)
- Gaussian-Bernoulli unit
- NRLU hidden unit
- Softmax hidden unit
- Persistent Contrastive divergence
- Dropout for hidden unit
Deep Belief Network (DBN)
RNN-RBM
- independent RBM pre-training
Variational LSTM auto-encoder
Quasi Reccurent NN

These extensions were validated in Keras 1.2.0 and python 3.5 (Anaconda). Tensorflow and Theano backend also work fine in Keras. Please refer to some examples to use libraries.

Reference:

RBM, DBN : https://github.com/wuaalb/keras_extensions
RNNRBM : http://deeplearning.net/tutorial/rnnrbm.html
Variational LSTM Auto-Encoder : https://github.com/jayhack/LSTMVRAE
Quasi Reccurent NN https://arxiv.org/pdf/1611.01576v1.pdf