Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

2018-JDDC大赛第4名的解决方案

An Implementation of 'Attention is all you need' with Chinese Corpus

Datasets I have created for scientific summarization, and a trained BertSum model

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

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

Kaggle新赛(baseline)-基于BERT的fine-tuning方案+基于tensor2tensor的Transformer Encoder方案

NMT for chinese-english using tensor2tensor

Tensor2tensor experiment with SpecAugment

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在tensor2tensor中使用自己的语料实现中英文翻译

#Assignment Answers #About this Specialization: Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

tensor2tensor usage

"Variations of Transformer" running on Tensor2Tensor library

Subwords tokenizer based on google code from tensor2tensor

自定义训练数据训练transformer

challenger.ai 机器翻译 tensor2tensor transformer

Additional models for tensor2tensor.

Tesseract and Transformer

Tensor2Tensor helper utilities for playing with pre-trained at16k models.

Grammar Error Correction Based on Tensor2Tensor

Vietnamese Diacritic Restoration using Transformer Sequence-to-Sequence Model

modify code to support horovod

demo of tensor2tensor

use c++ to rewrite the part of encoder of transfomer(google tensor2tensor)

tensor2tensor readme中文版

machine translation based on tensor2tensor

Japanese conversation api learned by tensor2tensor's transformer model.

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