Alternatives and similar repositories for RBM:

Users that are interested in RBM are comparing it to the libraries listed below

• Ian09 / SupervisedDeepDocNADE
  A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data, TPAMI, http://arxiv.org/abs/1409.3970
  ☆41Updated 9 years ago
• hycis / transfer_learning
  Mozi, Transfer Learning, Multi-Modal Learning, Theano
  ☆27Updated 9 years ago
• geduo15 / Very-Deep-Convolutional-Networks-for-Natural-Language-Processing-in-tensorflow
  implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow
  ☆55Updated 7 years ago
• spro / torch-seq2seq-attention
  Torch implementation of seq2seq machine translation with GRU RNN and attention
  ☆77Updated 8 years ago
• lipiji / variational-autoencoder-theano
  Variational Autoencoders (VAEs) in Theano for Images and Text
  ☆54Updated 7 years ago
• lipiji / rnn-theano
  RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano
  ☆69Updated 6 years ago
• rsarxiv / seq2seq-attention
  ☆58Updated 8 years ago
• Unbabel / sparsemax
  ☆9Updated 8 years ago
• ganeshjawahar / tweet-classify
  Tweet Classification using RNN and CNN
  ☆43Updated 8 years ago
• fomorians / highway-fcn
  Simple fully-connected highway networks using TensorFlow.
  ☆25Updated 7 years ago
• vsitzmann / snli-attention-tensorflow
  Tensorflow implementation of the Long-Short Term Memory Network with Deep Attention Fusion for the SNLI dataset.
  ☆23Updated 8 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆56Updated 7 years ago
• dvatterott / BMM_attentional_CNN
  A CNN with an attentional module that I built while attending the brains minds and machines summer course
  ☆68Updated 5 years ago
• yoosan / mxnet-seq2seq
  Sequence to sequence learning with MXNET
  ☆50Updated 8 years ago
• fomorians / highway-cnn
  Simple convolutional highway networks using TensorFlow.
  ☆56Updated 8 years ago
• pbhatia243 / tf-layer-norm
  TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
  ☆111Updated 8 years ago
• YisenWang / LightRNN-NIPS2016-Tensorflow_code
  The tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org…
  ☆56Updated 7 years ago
• deeplearningparis / dl-attention
  Attention models
  ☆33Updated 9 years ago
• da03 / lightlda
  Distributed LDA, takes raw text as input and outputs topic word table.
  ☆16Updated 8 years ago
• ryankiros / multimodal-neural-language-models
  A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)
  ☆54Updated 7 years ago
• gowthamrang / HAN
  Hierarchical Attention Network for Document Classification
  ☆27Updated 7 years ago
• lmthang / nmt.matlab
  Code to train state-of-the-art Neural Machine Translation systems.
  ☆105Updated 8 years ago
• raviqqe / tensorflow-font2char2word2sent2doc
  TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension
  ☆94Updated 7 years ago
• hjimce / seq2seq
  翻译系统,encode-decode模型
  ☆9Updated 8 years ago
• xiayandi / Pytorch_text_classification
  A simple implementation of CNN based text classification in Pytorch
  ☆65Updated 7 years ago
• ying-wen / nn_text_representation
  ☆87Updated 8 years ago
• abhaikollara / CNN-Sentence-Classification
  A tensorflow implementation of Convolutional Neural Networks for Sentence Classification
  ☆76Updated 7 years ago
• liuzhi136 / Visual-Question-Answering
  ☆41Updated 8 years ago
• sudeepraja / BLSTM-for-supervised-sequence-recognition
  General Purpose Implementation of LSTM extended from OCROPUS to recognize any sequential data
  ☆28Updated 10 years ago
• YueDayu / gated-cnn
  gated cnn (Language Modeling with Gated Convolutional Networks)
  ☆18Updated 8 years ago