luke202001's repositories
Apulis-AI-Platform
The AI platform is designed to provide an end-to-end AI solution to users from different industries and enable them to start the high-performance AI development work with significantly reduced ramp up time, thereby saving costs and improving efficie.
bdp-base
大数据生态解决方案基础平台: 搜索系统、公共系统、任务管理系统、数据binlog采集、基础爬虫系统、数据传输系统、运维告警系统、APM、报表系统
bdp-store
大数据生态解决方案店家数据分析：智能营销推荐分析、消费者画像分析、店家信誉声量分析、topN商品分析、累计评论分析、宝贝详情分析、增量销售数据分析、活动效果分析、爬虫系统、店家Dashboard系统
bigdata-docker-compose
Hadoop, Hive, Spark, Zeppelin and Livy: all in one Docker-compose file.
clickhouse-cluster-docker
Docker compose for ClickHouse Cluster
Code4Java
Repository for my java projects.
datacenter-1
数据中台系统，基于go-zero框架
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.
eagle
Real time data processing system based on flink and CEP
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
flink-es-demo
基于ES快速实现车辆碰撞分析、套牌车分析、尾随分析。
flink-iceberg-demo
flink iceberg integration tests, jobs running on yarn.
flink-pageviews-demo
A simple demo about Flink Upsert-kafka
flink-spark-submiter
从本地IDEA提交Flink/Spark任务到Yarn/k8s集群
go-gin-api
基于 Gin 进行模块化设计的 API 框架，封装了常用功能，使用简单，致力于进行快速的业务研发。比如，支持 cors 跨域、jwt 签名验证、zap 日志收集、panic 异常捕获、trace 链路追踪、prometheus 监控指标、swagger 文档生成、viper 配置文件解析、gorm 数据库组件、gormgen 代码生成工具、graphql 查询语言、errno 统一定义错误码、gRPC 的使用 等等。
hadoop-hive-spark-docker
Base Docker image with just essentials: Hadoop, Hive and Spark.
jeecg-boot
「企业级低代码平台」前后端分离架构SpringBoot 2.x，SpringCloud，Ant Design&Vue，Mybatis-plus，Shiro，JWT。强大的代码生成器让前后端代码一键生成，无需写任何代码! 引领新的开发模式OnlineCoding->代码生成->手工MERGE，帮助Java项目解决70%重复工作，让开发更关注业务，既能快速提高效率，帮助公司节省成本，同时又不失灵活性。
lab-fraud-detection
Demo code for implementing and showcasing a Fraud Detection Engine with Apache Flink.
LarkMidTableUI
数据中台的前端界面
mriya
Real-time ETL developed by Flink, data from MySQL to Greenplum. Use canal to parse the MySQL binlog, put it into kafka, use Flink to consume kafka and assemble the data into Greenplum, and more data sources and target sources will be added in the future.
Music-Top-Recommend
利用用户画像数据、物品元数据、用户行为数据为特征构建推荐系统，使用CB和CF算法做推荐召回，使用 Redis数 据库做缓存处理，结合机器学习LR算法推荐排序，达到粗排、精排效果，实现推荐引擎搭建。
plink
Platform for Flink
RecBole
A unified, comprehensive and efficient recommendation library
Ryven
Flow-based visual scripting for Python
SparrowRecSys
A Deep Learning Recommender System
task-scheduler
多线程并行任务调度器，支持DAG