seq2seq-attn
NMT framework
An implementation of a sequence-to-sequence model with attention mechanism using LSTMs and character embeddings for neural machine translation
Sequence-to-sequence model with LSTM encoder/decoders and attention
1k stars
97 watching
279 forks
Language: Lua
last commit: about 4 years ago
Linked from 1 awesome list
carpedm20/awesome-torchRelated projects:
| Repository | Description | Stars |
|---|---|---|
 elbayadm/attn2d | A PyTorch implementation of 2D convolutional neural networks for sequence-to-sequence prediction in machine translation | 502 |
 jonsafari/nmt-list | A comprehensive catalog of various neural machine translation implementations using different deep learning frameworks. | 359 |
 eladhoffer/seq2seq.pytorch | Provides tools and frameworks for training sequence-to-sequence models using PyTorch | 523 |
 lmthang/nmt.matlab | Training software for neural machine translation systems using attention mechanisms and multi-layer encoder-decoder models. | 105 |
 localminimum/qanet | An implementation of Google's QANet for machine reading comprehension using TensorFlow. | 983 |
 alibaba/alicemind | A collection of pre-trained encoder-decoders and related optimization techniques for natural language processing | 1,986 |
 maximumentropy/seq2seq-pytorch | An implementation of Sequence to Sequence models in PyTorch with various attention mechanisms and extensions for machine translation tasks. | 738 |
 khanhptnk/bandit-nmt | A framework for integrating policy gradient methods into neural machine translation models and evaluating their performance under simulated human feedback. | 136 |
 ibm/pytorch-seq2seq | A PyTorch-based framework for building and training sequence-to-sequence models | 1,499 |
 awslabs/sockeye | An open-source sequence-to-sequence framework for neural machine translation built on PyTorch. | 1,212 |
 oyxhust/cnn-lstm-ctc-text-recognition | Develops CTC-based text recognition models with neural network architectures | 259 |
 alex-berard/seq2seq | An attention-based sequence-to-sequence learning framework | 389 |
 neulab/word-embeddings-for-nmt | An open source project that provides pre-trained word embeddings and a dataset for evaluating their usefulness in neural machine translation. | 121 |
 namisan/mt-dnn | A PyTorch package implementing multi-task deep neural networks for natural language understanding | 2,238 |
 yechengxi/lightnet | A Matlab-based framework for building and training deep learning models | 271 |