longlong's starred repositories
trackerslist
Updated list of public BitTorrent trackers
CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
interview
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
awesome-cs-books
🔥 经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
the-gan-zoo
A list of all named GANs!
Halfrost-Field
✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
audio_video_streaming
音视频流媒体权威资料整理,500+份文章,论文,视频,实践项目,协议,业界大神名单。
awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
cmake-demo
《CMake入门实战》源码
awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
DAG-diagram
VUE plugin for DAG graph , u can use it 4 flow diagram or machine learning visualization
Imbalance-XGBoost
XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
PublicRepository
this is a repository for test.
PincongBackup.github.io
品葱备份计划
adempiere-vue
ADempiere-Vue is a new UI for ADempiere ERP, CRM & SCM. It is based on Vue and uses the UI Toolkit element-ui. It is a great UI for ADempiere ERP, CRM & SCM, based on the newest development stack of Vue, built-in i18n solution, typical templates for enterprise applications, lots of awesome features. This project was forked from Vue-Element-Admin originally write by PanJiaChen / 花裤衩 over MIT license and was changed to GNU/GPL v3 by Yamel Senih after forked granted by PanJiaChen / 花裤衩 on the issue "Extend as GNU/Gpl v3 License #1434".
MasterDataImport
importing data from csv file into SQL Database (DB2) using spring batch
Dimentionality-Reduction
Here in this project I have used breast cancer dataset which is already present in sklearn.
uploadfile_csv_import_db
Spring Boot, Spring Batch, file csv upload file and import database