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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hashily is a Python module that provides a variety of text decoding and encoding operations.

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🏖 Easy training and deployment of seq2seq models.

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Simple NLP based project without any use of AI

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:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

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What are the best Systems? New Perspectives on NLP Benchmarking

What are the best Systems? New Perspectives on NLP Benchmarking In Machine Learning, a benchmark refers to an ensemble of datasets associated with one

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LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation

LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation Tasks | Datasets | LongLM | Baselines | Paper Introduction LOT is a ben

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Russian GPT3 models.

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Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

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