seq2seq-attn
by harvardnlp
Sequence-to-sequence model with LSTM encoder/decoders and attention
AI summary
NMT framework
An implementation of a sequence-to-sequence model with attention mechanism using LSTMs and character embeddings for neural machine translation
- stars
- 1.3K
- forks
- 279
- watching
- 97
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
NMT library
A PyTorch implementation of 2D convolutional neural networks for sequence-to-sequence prediction in machine translation
NMT implementations
A comprehensive catalog of various neural machine translation implementations using different deep learning frameworks.
seq2seq framework
Provides tools and frameworks for training sequence-to-sequence models using PyTorch
Neural translator
Training software for neural machine translation systems using attention mechanisms and multi-layer encoder-decoder models.
Machine reading model
An implementation of Google's QANet for machine reading comprehension using TensorFlow.
NLP framework
A collection of pre-trained encoder-decoders and related optimization techniques for natural language processing
Seq2seq model library
An implementation of Sequence to Sequence models in PyTorch with various attention mechanisms and extensions for machine translation tasks.
NMT framework
A framework for integrating policy gradient methods into neural machine translation models and evaluating their performance under simulated human feedback.
seq2seq toolkit
A PyTorch-based framework for building and training sequence-to-sequence models
awslabs/sockeye1.2K
Sequence-to-sequence framework
An open-source sequence-to-sequence framework for neural machine translation built on PyTorch.
Text recognizers
Develops CTC-based text recognition models with neural network architectures
Sequence transformer
An attention-based sequence-to-sequence learning framework
NMT Dataset
An open source project that provides pre-trained word embeddings and a dataset for evaluating their usefulness in neural machine translation.
namisan/mt-dnn2.2K
NLP model
A PyTorch package implementing multi-task deep neural networks for natural language understanding
Deep learning framework
A Matlab-based framework for building and training deep learning models
Featured in 1 awesome list
Each link jumps to the spot where the list mentions seq2seq-attn.
