ofirpress / YouMayNotNeedAttentionLinks
Code for the Eager Translation Model from the paper You May Not Need Attention
☆295Updated 7 years ago
Alternatives and similar repositories for YouMayNotNeedAttention
Users that are interested in YouMayNotNeedAttention are comparing it to the libraries listed below
Sorting:
- Latent Alignment and Variational Attention☆328Updated 7 years ago
- Dynamic evaluation for pytorch language models, now includes hyperparameter tuning☆104Updated 8 years ago
- Adaptive Softmax implementation for PyTorch☆81Updated 6 years ago
- ☆397Updated 7 years ago
- ☆63Updated 8 years ago
- ☆134Updated 7 years ago
- Cleaned original source code from my NIPS publication☆158Updated 8 years ago
- Sparse and structured neural attention mechanisms☆225Updated 5 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆248Updated 7 years ago
- A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.☆103Updated 3 years ago
- Implementation of papers on Deep Seq2seq learning using Pytorch.☆218Updated 6 years ago
- Pytorch and Torchtext implementation of Sequence to sequence☆59Updated 7 years ago
- Towards Neural Phrase-based Machine Translation☆178Updated 7 years ago
- ☆42Updated 7 years ago
- My personal notes and surveys on DL, CV and NLP papers.☆126Updated 6 years ago
- PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"☆271Updated 3 years ago
- Intent parsing and slot filling in PyTorch with seq2seq + attention☆159Updated 8 years ago
- Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.☆120Updated 7 years ago
- Tools for PyTorch☆223Updated 3 years ago
- A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.☆85Updated 8 years ago
- PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset☆123Updated 6 years ago
- Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)☆124Updated 2 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 years ago
- Non-autoregressive Neural Machine Translation (not a full version)☆70Updated 3 years ago
- PyTorch implementation for Interpretable Dialog Generation ACL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center…☆197Updated 6 years ago
- PyTorch DataLoader for seq2seq