Tianyustar
My name is Beverley Beer and I am studying at La Salle. I am passionate about learning and have a strong interest in open source technology. I aspir
Netease Company123 Main St, Anytown, CA 12345, USA
Pinned Repositories
Algorithm
bookseatsystem
Deep-Generative-Models-for-Natural-Language-Processing
Deep Generative Models for Natural Language Processing, conference mapping and paper list
drawlots
IMdemo
imHi
imhiService
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mybaties-plus-demo
一个mybaties-plus-的初次搭建使用
nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
teach-download
Tianyustar's Repositories
Tianyustar/teach-download
Tianyustar/mybaties-plus-demo
一个mybaties-plus-的初次搭建使用
Tianyustar/nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
Tianyustar/Algorithm
Tianyustar/Deep-Generative-Models-for-Natural-Language-Processing
Deep Generative Models for Natural Language Processing, conference mapping and paper list
Tianyustar/drawlots
Tianyustar/IMdemo
Tianyustar/imHi
Tianyustar/imhiService
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Tianyustar/java-books-collections
:books:Java编程书籍收集分享。Java programming books collection to share.:rocket:
Tianyustar/KBQA
Complex Question Answering over Knowledge Graphs
Tianyustar/kkFileView
使用spring boot打造文件文档在线预览项目解决方案，支持doc、docx、ppt、pptx、xls、xlsx、zip、rar、mp4，mp3以及众多类文本如txt、html、xml、java、properties、sql、js、md、json、conf、ini、vue、php、py、bat、gitignore等文件在线预览
Tianyustar/Learning
Tianyustar/lorasystem
初始创建项目
Tianyustar/lorawan-project
Tianyustar/Machine-Learning-Foundations-Techniques
Tianyustar/my_qa
https://github.com/Lsdefine/knowledgeworks_api.git
Tianyustar/QASystemOnMedicalKG
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。
Tianyustar/react-ace
React Ace Component
Tianyustar/ros2djs
2D Visualization Library for use with the ROS JavaScript Libraries
Tianyustar/show-data
Tianyustar/standard
Tianyustar/teach-download-server
Tianyustar/testapp
Tianyustar/tgnuaa
Tianyustar/tianyuoj
Tianyustar/tydiqa
TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the training and evaluation of automatic question answering systems. This repository provides evaluation code and a baseline system for the dataset.
Tianyustar/uploadwork
Tianyustar/vue-element-admin
:tada: A magical vue admin http://panjiachen.github.io/vue-element-admin
Tianyustar/vue-test