neural-machine-translation

Unsupervised text tokenizer for Neural Network-based text generation.

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Fast inference engine for Transformer models

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

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

Open Source Neural Machine Translation in Torch (deprecated)

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Neural machine translation and sequence learning using TensorFlow

A list of NLP(Natural Language Processing) tutorials

Fast Neural Machine Translation in C++

Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

curated collection of papers for the nlp practitioner 📖👩‍🔬

Open-Source Neural Machine Translation in Tensorflow

TensorFlow and Deep Learning Tutorials

An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group

Minimalist NMT for educational purposes