-
ZHEJIANG DAHUA TECHNOLOGY CO.,LTD
- Hangzhou,Zhejiang, China
- https://blog.csdn.net/hxcaifly
Starred repositories
🔥「企业级低代码平台」前后端分离架构SpringBoot 2.x/3.x,SpringCloud,Ant Design&Vue3,Mybatis,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,引入AI模型能力 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…
about learning Spring Boot via examples. Spring Boot 教程、技术栈示例代码,快速简单上手教程。
Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.
SOFARPC is a high-performance, high-extensibility, production-level Java RPC framework.
🔥 Seata is an easy-to-use, high-performance, open source distributed transaction solution.
阿里云计算平台DataWorks(https://help.aliyun.com/document_detail/137663.html) 团队出品,为监控而生的数据库连接池
An industrial deep learning framework for high-dimension sparse data
BTrace - a safe, dynamic tracing tool for the Java platform
cglib - Byte Code Generation Library is high level API to generate and transform Java byte code. It is used by AOP, testing, data access frameworks to generate dynamic proxy objects and intercept f…
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
定期更新Hadoop生态圈中常用大数据组件文档 重心依次为: Flink Solr Sparksql ES Scala Kafka Hbase/phoenix Redis Kerberos (项目包含hadoop思维导图 印象笔记 Scala版本简单demo 常用工具类 去敏后的train code 持续更新!!!)
lonePatient / deep-learning-papers-translation
Forked from SnailTyan/deep-learning-papers-translation深度学习论文翻译,包括分类论文,检测论文等
IEEE's Signal Processing Society - Camera Model Identification
Examples of Eager Execution in tensorflow
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
This repo contains a PyTorch implementation of a pretrained BERT model for text classification.
Implementation of the language model for Contextual chinese strokes Embeddings with PyTorch
Apache Flink 源码分析系列,基于 git tag 1.1.2
Open standard for machine learning interoperability
A high performance, distributed RPC framework.(分布式服务框架XXL-RPC)
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
https://github.com/CyC2018/Interview-Notebook