kaiix / vaelm
Variational auto-encoder language model
☆14Updated 8 years ago
Alternatives and similar repositories for vaelm:
Users that are interested in vaelm are comparing it to the libraries listed below
- ☆19Updated 6 years ago
- ☆19Updated 8 years ago
- Deep neural models for core NLP tasks☆13Updated 7 years ago
- ☆47Updated 7 years ago
- Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the …☆19Updated 2 years ago
- Document context language models☆22Updated 9 years ago
- Code for the EACL paper "Using the Output Embedding to Improve Language Models" by Ofir Press and Lior Wolf☆46Updated 7 years ago
- An implementation of semi-supervised VAE for morphology reinflection.☆26Updated 5 years ago
- Code for the paper "Extreme Adaptation for Personalized Neural Machine Translation"☆42Updated 3 years ago
- Code for the paper 'Weighting Finite State Transductions with Neural Context', Pushpendre Rastogi, Ryan Cotterell, Jason Eisner☆28Updated 5 years ago
- Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders☆22Updated 8 years ago
- Converts Quora's new NLU dataset to SNLI txt/jsonl format, plus test/dev split, tokenization.☆14Updated 8 years ago
- ☆27Updated 8 years ago
- Chunk-based neural machine translation☆17Updated 3 years ago
- Hierarchical Encoder Decoder for Dialog Modelling☆15Updated 9 years ago
- ☆21Updated 8 years ago
- Recurrent Memory Network - Torch implementation☆35Updated 8 years ago
- Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling☆36Updated 7 years ago
- Quasi-RNN for language modeling☆57Updated 8 years ago
- A sentence encoding-based model for natural language inference☆31Updated 6 years ago
- PyTorch implementation of PtrNet to solve sorting problem.☆12Updated 7 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆83Updated 8 years ago
- An example of DyNet autobatching for the NIPS "how to code a paper" workshop☆12Updated 7 years ago
- An attentional NMT model in Dynet☆26Updated 6 years ago
- ☆41Updated 7 years ago
- Attention models☆33Updated 9 years ago
- TensorFlow and Numpy implementation of sparsemax☆15Updated 5 years ago
- Reproduction instructions for "Rapid Adaptation of Neural Machine Translation to New Languages"☆40Updated 6 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Code for upcoming TACL paper w/ Graham Neubig, "Neural Lattice Language Models".☆48Updated 7 years ago