Natural Language Processing Best Practices & Examples
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Updated
Aug 30, 2022 - Python
Natural Language Processing Best Practices & Examples
A private nlp coding package, which quickly implements the SOTA solutions.
基于pytorch框架,针对文本分类的机器学习项目,集成多种算法(xgboost, lstm, bert, mezha等等),提供基础数据集,开箱即用,方便自己二次拓展,持续更新
An end to end ASR Transformer model training repo
PlexusNet for medical imaging
This repository contains the code of the experiments reported in the paper "Syntax-aware Transformers for Neural Machine Translation: The Case ofText to Sign Gloss Translation". This paper was accepted for the Workshop BUCC2021 in the conference RANLP 2021.
Future power consumption prediction using LSTM, GRU and Transformer models
This project is about end-to-end implementation of sentence paraphrasing model using the docker
Conditional comment generation using TILGAN As Batchelor Project, Based On Findings of ACL-IJCNLP 2021 paper entitled "TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation"
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