108 Open source projects that are alternatives of or similar to vat_nmt

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Sequence-to-Sequence Framework in PyTorch

Neural Machine Translation with Keras

Minimalist NMT for educational purposes

基于双向RNN，Attention机制的编解码神经机器翻译模型

Sequence to sequence learning using TensorFlow.

An implementation of attention-based neural machine translation using Pytorch

Open-Source Neural Machine Translation in Tensorflow

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

An implementation of RNNsearch using TensorFlow

A list of Neural MT implementations

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

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

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

Neural machine translation and sequence learning using TensorFlow

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

A list of NLP(Natural Language Processing) tutorials

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

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

Fast inference engine for OpenNMT models

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

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

Fast Neural Machine Translation in C++ - development repository

Fast Neural Machine Translation in C++

TensorFlow and Deep Learning Tutorials

Package to validate a vat id via the api of the european union (vies)

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

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

Unsupervised text tokenizer for Neural Network-based text generation.

Improving the Transformer translation model with document-level context

Code accompanying our EMNLP paper Learning Language Representations for Typology Prediction

Reproduce some methods in semi-supervised papers.

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

💸 {Digital,Cloud,Electronic,Online} Services VAT Rate Database

curated collection of papers for the nlp practitioner 📖👩‍🔬

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

Neural Machine Translation with RNN/ConvS2S/Transoformer

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

Sequence-to-Sequence learning using PyTorch

Official XSD from the Government of Angola for use in SAF-T AO

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

Open neural machine translation models and web services

Open Source Neural Machine Translation in PyTorch

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

MT paper lists (by conference)

API documentation and wrappers for Quaderno.

Open Source Neural Machine Translation in Torch (deprecated)

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

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.

Curated list of publicly available parallel corpus for Indian Languages

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

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

A simple yet strong implementation of neural machine translation in pytorch

A neural machine translation model in PyTorch

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

Data Augmentation for Neural Machine Translation

Vertex animation baking tool, shaders and animation system for Unity DOTS/ECS.

Unity VFX Graph technical experiment.

A python package to assess cluster tendency