Multi-granularity Interaction Model Based on Pinyins and Radicals for Chinese Semantic Matching

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

本实验，是用BERT进行中文情感分类，记录了详细操作及完整程序

2019高校大数据挑战第四名解决方案及代码（Fah队）

基于知识增强的文本匹配模型

learning pytorch step by step

Was the Final Project for NLP course taken in 2020

Deep Learning Project, using BERT, ResNet, GPT2, and XLNet to classify hateful text and images.

基于pytorch实现多残差神经网络集成配置，实现分类神经网络，进行项目训练测试

人工智能Python全栈工程师 人工智能时代已经来临，再不学习就会被淘汰！ python考试，已经被列为国家计算机二级考试 python课程，已经被浙江的中学列为必修课内容之一 python课程，已经被山东的小学列为选修课课程之一 零基础？ 怕啥，君社教育来帮你！ Python人才到2020年，全球15%以上的企业会使用人工智能技术，人才缺口巨大，你就是下一个稀缺IT金领。 君社教育(微信：…

For the final project of machine learning class at NKU

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴（当前赛事、往期赛事、训练赛）、NLP会议时间、常用自媒体、GPU推荐等，持续更新中

全球人工智能技术创新大赛-赛道三-冠军方案

NCD Classifier is a Python library that implements the method proposed in the paper "Low-Resource" Text Classification: A Parameter-Free Classification Method with Compressors".

Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors

The gzip classification method implemented for molecule classification.

experiments of some semantic matching models and comparison of experimental results.

Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…

利用matchzoo库解决贝壳房产问答匹配比赛，CSDN博客链接在：https://blog.csdn.net/yingdajun/article/details/116698583?spm=1001.2014.3001.5501

针对于matchzoo-py的二次开发，使之更合适于中文语料的深度学习匹配模型的搭建

以京东评论作为数据集，使用常见的机器学习算法如KNN、SVM、逻辑回归、贝叶斯、xgboost等等算法进行分类。使用深度学习中的CNN、RNN、CNN和RNN连接、Bi-GRU、bert模型进行分类。使用fastnlp的框架搭建文本分类。

Use deep models including BiLSTM, ABCNN, ESIM, RE2, BERT, etc. and evaluate on 5 Chinese NLP datasets: LCQMC, BQ Corpus, ChineseSTS, OCNLI, CMNLI

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

AAAI19 - Lattice CNNs for Matching Based Chinese Question Answering

100+ Chinese Word Vectors 上百种预训练中文词向量