negar-rostamzadeh / LSTM-AttentionLinks
LSTM-Attention
☆74Updated 7 years ago
Alternatives and similar repositories for LSTM-Attention
Users that are interested in LSTM-Attention are comparing it to the libraries listed below
Sorting:
- implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow☆55Updated 2 months ago
- Simple convolutional highway networks using TensorFlow.☆56Updated 8 years ago
- RNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano☆69Updated 6 years ago
- A CNN with an attentional module that I built while attending the brains minds and machines summer course☆68Updated 6 years ago
- Attention models☆34Updated 9 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language mo…☆44Updated 8 years ago
- Tensorflow implementation of the Long-Short Term Memory Network with Deep Attention Fusion for the SNLI dataset.☆23Updated 9 years ago
- This is the code&dataset for the paper [Hierarchical Memory Networks for Answer Selection on Unknown Words. COLING 2016]☆44Updated 7 years ago
- A tensorflow implementation of Convolutional Neural Networks for Sentence Classification☆76Updated 8 years ago
- ☆58Updated 8 years ago
- Code for EACL '17 paper "Identifying beneficial task relations for multi-task learning in deep neural networks"☆45Updated 8 years ago
- TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.☆111Updated 8 years ago
- Batch normalized LSTM for tensorflow☆179Updated 8 years ago
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 9 years ago
- Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)☆121Updated 2 years ago
- A generative adversarial network for text generation, written in TensorFlow.☆92Updated 8 years ago
- LSTM Neural Network in Python and Cython, used for language modelling☆129Updated 9 years ago
- PyTorch, LSTM CRF model☆9Updated 7 years ago
- Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing☆79Updated 7 years ago
- A simple implementation of CNN based text classification in Pytorch☆66Updated 8 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 8 years ago
- attention model for entailment on SNLI corpus implemented in Tensorflow and Keras☆178Updated 8 years ago
- Torch implementation of seq2seq machine translation with GRU RNN and attention☆77Updated 8 years ago
- An implementation of LSTM with Recurrent Batch Normalization.☆19Updated 8 years ago
- A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)☆55Updated 8 years ago
- CDSSM implementation in torch☆40Updated 9 years ago
- Deep generative model for sentiment analysis☆34Updated 8 years ago
- ☆83Updated 9 years ago
- Tensorflow implementation of "Dynamic Memory Networks for Visual and Textual Question Answering"☆79Updated 7 years ago