neural-machine-translation
There are 462 repositories under neural-machine-translation topic.
google/sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
OpenNMT/OpenNMT-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
OpenNMT/CTranslate2
Fast inference engine for Transformer models
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
NiuTrans/MTBook
《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
OpenNMT/OpenNMT
Open Source Neural Machine Translation in Torch (deprecated)
rsennrich/subword-nmt
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
delip/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
mesolitica/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
NVIDIA/OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
OpenNMT/OpenNMT-tf
Neural machine translation and sequence learning using TensorFlow
lyeoni/nlp-tutorial
A list of NLP(Natural Language Processing) tutorials
awslabs/sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
marian-nmt/marian
Fast Neural Machine Translation in C++
mihail911/nlp-library
curated collection of papers for the nlp practitioner 📖👩🔬
EdinburghNLP/nematus
Open-Source Neural Machine Translation in Tensorflow
wagamamaz/tensorflow-tutorial
TensorFlow and Deep Learning Tutorials
THUNLP-MT/THUMT
An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group
joeynmt/joeynmt
Minimalist NMT for educational purposes
Helsinki-NLP/Opus-MT
Open neural machine translation models and web services
lvapeab/nmt-keras
Neural Machine Translation with Keras
eladhoffer/seq2seq.pytorch
Sequence-to-Sequence learning using PyTorch
elbayadm/attn2d
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
hemingkx/ChineseNMT
ChineseNMT: Translate English to Chinese with PyTorch Implementation of Transformer
ufal/neuralmonkey
An open-source tool for sequence learning in NLP built on TensorFlow.
lium-lst/nmtpytorch
Sequence-to-Sequence Framework in PyTorch
jayparks/tf-seq2seq
Sequence to sequence learning using TensorFlow.
jonsafari/nmt-list
A list of Neural MT implementations
modernmt/modernmt
Neural Adaptive Machine Translation that adapts to context and learns from corrections.
browsermt/bergamot-translator
Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.
bitextor/bitextor
Bitextor generates translation memories from multilingual websites
hoangcuong2011/Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
mikeroyal/Neuromorphic-Computing-Guide
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
esthicodes/Awesome-Swiss-German
Multi-language Analyze text in 26 Cantonal Swiss German, Italian, German, Chinese (simplified), French, Italian. pply natural language understanding (NLU) to their applications with features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.
tokestermw/tensorflow-shakespeare
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow