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.
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.
각 실습 파일의 py 파일을 열어보면 Colab 링크를 기재해두었습니다.
해당 링크를 Chrome 브라우저에서 복사 + 붙여넣기 하시면 별도 파이썬 설치 바로 실습이 가능합니다.
Chiffrement Inverse En Python3 Programme de chiffrement et de déchiffrement inverse d'un message en python3. Explication du chiffrement inverse avec c
BioLAMA BioLAMA is biomedical factual knowledge triples for probing biomedical LMs. The triples are collected and pre-processed from three sources: CT
Keyword: Speech Translation, Spoken Language Processing, Natural Language Processing
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Global Prosody Style Transfer Without Text Transcriptions This repository provides a PyTorch implementation of AutoPST, which enables unsupervised glo
Pretrain_Bert_with_MaskLM Info 使用Mask LM预训练任务来预训练Bert模型。 基于pytorch框架，训练关于垂直领域语料的预训练语言模型，目的是提升下游任务的表现。 Pretraining Task Mask Language Model，简称Mask LM，即
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis Jungil Kong, Jaehyeon Kim, Jaekyoung Bae In our paper, we p
growth-data Tools and data for measuring the popularity & growth of various programming languages. Install the dependencies $ pip install -r requireme
English | 中文 Features 🌍 Chinese supported mandarin and tested with multiple datasets: aidatatang_200zh, magicdata, aishell3, data_aishell, and etc. ?
Convolutional Neural Networks for Sentence Classification Code for the paper Convolutional Neural Networks for Sentence Classification (EMNLP 2014). R
Fast-Bert New - Learning Rate Finder for Text Classification Training (borrowed with thanks from https://github.com/davidtvs/pytorch-lr-finder) Suppor
Phone Level Mixture Density Network for TTS This repo contains pytorch implementation of paper Rich Prosody Diversity Modelling with Phone-level Mixtu
Dust-model-dichotomous-performance-analysis Using a collated dataset of 90,000 dust point source observations from 9 drylands studies from around the
spacy-transformers: Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy This package provides spaCy components and architectures to use tr
Fine-tuning wav2vec2 for speaker recognition This is the code used to run the experiments in https://arxiv.org/abs/2109.15053. Detailed logs of each t
News SRU++, a new SRU variant, is released. [tech report] [blog] The experimental code and SRU++ implementation are available on the dev branch which
SpikeX is a collection of pipes ready to be plugged in a spaCy pipeline. It aims to help in building knowledge extraction tools with almost-zero effort.
SentencePiece SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabu
ThreatFox2Misp Creating a Feed of MISP Events from ThreatFox (by abuse.ch) What will it do? This will fetch IOCs from ThreatFox by Abuse.ch, convert t
Auto-Research A no-code utility to generate a detailed well-cited survey with topic clustered sections (draft paper format) and other interesting arti
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