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

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

A list of NLP(Natural Language Processing) tutorials

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

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

Fast Neural Machine Translation in C++

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

Neural machine translator for English2German translation.

Machine Translation (MT) Preparation Scripts

基于双向RNN，Attention机制的编解码神经机器翻译模型

Towards Neural Phrase-based Machine Translation

Fast Neural Machine Translation in C++ - development repository

Unsupervised text tokenizer for Neural Network-based text generation.

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

Open neural machine translation models and web services

Neural machine translation implementation using dynet's python bindings

A neural machine translation model in PyTorch

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

Neural machine translation and sequence learning using TensorFlow

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

Non-autoregressive Neural Machine Translation (not a full version)

Open Source Neural Machine Translation in Torch (deprecated)

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

UPC Deep Learning for Speech and Language 2018

Open-Source Neural Machine Translation in Tensorflow

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

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

Open Source Neural Machine Translation in PyTorch

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.

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Zero -- A neural machine translation system

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

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

MT paper lists (by conference)

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

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

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

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

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

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

Code accompanying our EMNLP paper Learning Language Representations for Typology Prediction

An implementation of attention-based neural machine translation using Pytorch

An implementation of RNNsearch using TensorFlow

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

An Implementation of Transformer (Attention Is All You Need) in DyNet

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

curated collection of papers for the nlp practitioner 📖👩‍🔬

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

Neural Machine Translation with RNN/ConvS2S/Transoformer

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

TensorFlow and Deep Learning Tutorials

Improving the Transformer translation model with document-level context

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

Translating English sentences to Marathi using Neural Machine Translation

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

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

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

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

Several basic neural machine translation models implemented by PyTorch & TensorFlow

Fast inference engine for OpenNMT models