72 Open source projects that are alternatives of or similar to Nmt

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

Improving the Transformer translation model with document-level context

Implementation of our paper "Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation" in EMNLP-2020.

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

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

How Does Selective Mechanism Improve Self-attention Networks?

Neural Adaptive Machine Translation that adapts to context and learns from corrections.

Sequence-to-Sequence Framework in PyTorch

Preprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.

Zero -- A neural machine translation system

Translating English sentences to Marathi using Neural Machine Translation

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Visualization for simple attention and Google's multi-head attention.

Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.

Minimalist NMT for educational purposes

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

An implementation of attention-based neural machine translation using Pytorch

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

Unsupervised text tokenizer for Neural Network-based text generation.

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

A minimal nmt example to serve as an seq2seq+attention reference.

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

A list of Neural MT implementations

MT paper lists (by conference)

Java JNI wrapper for SentencePiece: unsupervised text tokenizer for Neural Network-based text generation.

UPC Deep Learning for Speech and Language 2018

A neural machine translation model in PyTorch

A simple yet strong implementation of neural machine translation in pytorch

Several basic neural machine translation models implemented by PyTorch & TensorFlow

Neural Machine Translation with Keras

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

Data Augmentation for Neural Machine Translation

A TensorFlow Implementation of Machine Translation In Neural Machine Translation in Linear Time

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

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

Neutron: A pytorch based implementation of Transformer and its variants.

Neural machine translation between the writings of Shakespeare and modern English using TensorFlow

An open-source tool for sequence learning in NLP built on TensorFlow.

Open Source Neural Machine Translation in Torch (deprecated)

Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

Towards Neural Phrase-based Machine Translation

TensorFlow and Deep Learning Tutorials

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

Code for "Asynchronous bidirectional decoding for neural machine translation" (AAAI, 2018)

Fast inference engine for OpenNMT models

Sequence to sequence learning using TensorFlow.

Fast Neural Machine Translation in C++ - development repository

A Fast Neural Machine Translation System. It is developed in C++ and resorts to NiuTensor for fast tensor APIs.

nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

Open Source Neural Machine Translation in PyTorch

Open neural machine translation models and web services

Neural machine translation implementation using dynet's python bindings

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Curated list of publicly available parallel corpus for Indian Languages

Machine Translation (MT) Preparation Scripts

Fast Neural Machine Translation in C++

Open-Source Neural Machine Translation in Tensorflow

Sequence-to-Sequence learning using PyTorch

This repository contains the code and data of the paper titled "Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation" published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16 - November 20, 2020.

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.