pravarmahajan / cnn-encoder-nmt
☆44Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for cnn-encoder-nmt
- The training code for the EMNLP 2017 paper "Learning Generic Sentence Representations Using Convolutional Neural Networks"☆34Updated 7 years ago
- Notes for Deep Learning Papers☆19Updated 6 years ago
- ☆41Updated 6 years ago
- Code Samples from Neural Networks for NLP☆73Updated 7 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆47Updated 6 years ago
- ☆64Updated 7 years ago
- TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"☆30Updated 6 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆72Updated 3 years ago
- Pytorch and Torchtext implementation of Sequence to sequence☆60Updated 6 years ago
- Highway networks implemented in PyTorch.☆56Updated 7 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆84Updated 7 years ago
- Auto-Encoding Variational Neural Machine Translation☆16Updated 4 years ago
- ☆50Updated 6 years ago
- Dynamic evaluation for pytorch language models, now includes hyperparameter tuning☆105Updated 6 years ago
- Cleaned original source code from my NIPS publication☆154Updated 6 years ago
- ☆79Updated 7 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- SparseMAP: differentiable sparse structure inference☆110Updated 5 years ago
- Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks☆34Updated 6 years ago
- A sentence encoding-based model for natural language inference☆31Updated 6 years ago
- A short tutorial for Torchtext, the NLP-specific add-on for Pytorch.☆86Updated 7 years ago
- ☆43Updated 6 years ago
- ☆46Updated 7 years ago
- A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)☆55Updated 7 years ago
- Code for the paper "Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets", to be presented at NAACL 2019.☆18Updated 5 years ago
- ☆20Updated 6 years ago
- An implementation of semi-supervised VAE for morphology reinflection.☆26Updated 5 years ago