李鹏宇's repositories
dingtalk-demo
钉钉企业内部H5微应用 开发框架 实现 钉钉自动登录，查询后台数据 技术栈 springboot+mybatis 前端 vue
flink-explore
基于canal/kafka conenct的mysql/oracle数据实时同步、flink rest api、flink sql以及udf
hugegraph-hubble
A graph management and analysis platform that provides features: graph data load, schema management, graph relationship analysis and graphical display, and more.
architect-awesome
后端架构师技术图谱
medical-entity-recognition
包含传统的基于统计模型(CRF)和基于深度学习(Embedding-Bi-LSTM-CRF)下的医疗数据命名实体识别
driver.js
A light-weight, no-dependency, vanilla JavaScript engine to drive the user's focus across the page
ClickHouse
ClickHouse is a free analytics DBMS for big data
StreamX
let't bigdata easy,spark & flink 极速开发脚手架
es-hadoop-data-share
ES Hadoop数据双向读写 share data between es and hadoop base on ES-Hadoop
falcon-plus
An open-source and enterprise-level monitoring system.
homebrew-brew
The Official MongoDB Software Homebrew Tap
KGQA_insurance_product
基于开源保险产品数据构建的保险知识图谱及简易问答系统
Bert-Chinese-Text-Classification-Pytorch
使用Bert／ERNIE进行中文短文本分类(附数据集)
whatsmars
Java生态研究(Spring Boot + Redis + Dubbo + RocketMQ + Elasticsearch)🔥🔥🔥🔥🔥
Kafka-In-Practice
Kafka v2.3 快速入门与实践
webfunny_monitor
通过向html页面中插入一段简单的JS探针代码，实现无埋点监控前端页面的用户行为，包括但不限于 PV/UV、报错日志、请求日志、静态资源加载情况、用户点击行为以及截图信息等等，目的在于帮助前端开发提高解决线上问题的效率。页面DEMO:
iDataV
大屏数据可视化 Big screen data visualization demo
sqler
write APIs using direct SQL queries with no hassle, let's rethink about SQL
volcano
A Kubernetes Native Batch System
hop
The Hop Orchestration Platform aims to facilitate all aspects of data and metadata orchestration.
neo4j-icd11-graph
Dibakar & Rayan : App to display ICD graphs using neo4j API and flask. This app implements neo4j bolt address to pull data from neo4j graph database and implements d3.js for graph creation.
TensorFlow-2.x-Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
spark-nlp
State of the Art Natural Language Processing
Machine-Learning-with-Scala-Quick-Start-Guide
Machine Learning with Scala Quick Start Guide, published by Packt