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ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

architecture.of.internet-product icon architecture.of.internet-product

互联网公司技术架构，微信/淘宝/微博/腾讯/阿里/美团点评/百度/Google/Facebook/Amazon/eBay的架构，欢迎PR补充

armeria icon armeria

Asynchronous RPC/REST library built on top of Java 8, Netty, HTTP/2, Thrift and gRPC

awesome-java icon awesome-java

Collection of awesome Java project on Github(Github 上非常棒的 Java 开源项目集合).

cs-notes icon cs-notes

:books: Computer Science Learning Notes

d2l-zh icon d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

deepin-apps-installation icon deepin-apps-installation

本仓库介绍如何在基于Ubuntu的系统上安装Deepin移植的软件。This repo shows how to install apps packaged by Deepin.

deequ icon deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

dubbo icon dubbo

Apache Dubbo is a high-performance, java based, open source RPC framework.

easyscheduler icon easyscheduler

Easy Scheduler is a distributed workflow task scheduling system, which mainly resolve the problem of "complicated task dependencies but cannot directly monitor the health status of tasks". Easy Scheduler assembles tasks in a DAG diagram and can monitor the running status of tasks in real time. Meanwhile, It supports operations such as retry, recovery failure from the specified node, pause and kill tasks.中文描述：Easy Scheduler是一个分布式工作流任务调度系统，主要解决"错综复杂的任务依赖关系，而不能直观监控任务健康状态等问题"。Easy Scheduler以DAG流式的方式将Task组装起来，并可实时监控任务的运行状态，同时支持重试、从指定节点恢复失败、暂停及Kill任务等操作。EasyScheduler由在工作流调度方面工作多年的多位小伙伴研发而成，致力于成为大数据平台的中流砥柱，使调度变得更加容易，更可以从其中文名“易调度”看出我们的初衷，如果你对目前市面上的调度不够满意，非常欢迎使用易调度，欢迎大家加入进来，提出需求，也欢迎贡献代码

grammars-v4 icon grammars-v4

Grammars written for ANTLR v4; expectation that the grammars are free of actions.

hello-algo icon hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing

incubator-druid icon incubator-druid

Apache Druid (Incubating) - Column oriented distributed data store ideal for powering interactive applications

interview icon interview

Interview = 简历指南 + LeetCode + Kaggle

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