A list of NLP(Natural Language Processing) tutorials built on Tensorflow 2.0.

Overview

Tensorflow-NLP-tutorial

A list of NLP(Natural Language Processing) tutorials built on Tensorflow 2.0.

위키독스 딥 러닝을 이용한 자연어 처리 입문 의 자연어 처리 튜토리얼 저장소입니다.
기본적으로 딥 러닝 프레임워크 Tensorflow 2.0+을 사용하고 있습니다.

자연어처리_상단_책

코드의 기반이 되는 이론적인 설명은 무료 e-book을 참고바랍니다.

e-book : https://wikidocs.net/book/2155

많은 딥 러닝 또는 자연어 처리 입문자들에게 도움이 되기를 바랍니다.

Colab 실습 방법

각 실습 파일의 py 파일을 열어보면 Colab 링크를 기재해두었습니다.
해당 링크를 Chrome 브라우저에서 복사 + 붙여넣기 하시면 별도 파이썬 설치 바로 실습이 가능합니다.

최신 업데이트 공지

  • 2021년 12월 31일 : 깃허브 저장소를 오픈하였습니다.
Owner
Won Joon Yoo
Machine Learning Engineer
Won Joon Yoo
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Create a machine learning model which will predict if the mortgage will be approved or not based on 5 variables

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GCRC: A Gaokao Chinese Reading Comprehension dataset for interpretable Evaluation

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Backend for the Autocomplete platform. An AI assisted coding platform.

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PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer

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Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"

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A demo for end-to-end English and Chinese text spotting using ABCNet.

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jel: Japanese Entity Linker jel - Japanese Entity Linker - is Bi-encoder based entity linker for japanese. Usage Currently, link and question methods

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Weird Sort-and-Compress Thing

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