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
Mesh TensorFlow: Model Parallelism Made Easier

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⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x using fastT5.

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Pytorch implementation of Tacotron

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Script to generate VAD dataset used in Asteroid recipe

About the dataset LibriVAD is an open source dataset for voice activity detection in noisy environments. It is derived from LibriSpeech signals (clean

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Silero Models: pre-trained speech-to-text, text-to-speech models and benchmarks made embarrassingly simple

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Predict an emoji that is associated with a text

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A Telegram bot to add notes to Flomo.

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Free and Open Source Machine Translation API. 100% self-hosted, offline capable and easy to setup.

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GPT-3: Language Models are Few-Shot Learners

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Perform sentiment analysis and keyword extraction on Craigslist listings

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Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper

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

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The official implementation of VAENAR-TTS, a VAE based non-autoregressive TTS model.

VAENAR-TTS This repo contains code accompanying the paper "VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis". Sa

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a CTF web challenge about making screenshots

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CCQA A New Web-Scale Question Answering Dataset for Model Pre-Training

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A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

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Converts python code into c++ by using OpenAI CODEX.

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GSoC'2021 | TensorFlow implementation of Wav2Vec2

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Language-Agnostic SEntence Representations

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Idea is to build a model which will take keywords as inputs and generate sentences as outputs.

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