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Real - time non-invasive AOP framework container based on JVM
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
A modern ebook manager and reader with sync and backup capacities for Windows, macOS, Linux and Web
推荐免费ChatGPT网站：https://www.lintcode.com/chat-gpt?utm_source=tf-github-NotFound 点此领取7天VIP会员：https://www.lintcode.com/vip/activity/z1qgMH 《大厂面试指北》——包括Java基础、JVM、数据库、mysql、redis、计算机网络、算法、数据结构、操作系统、设计模式…
😮 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
Drools is a rule engine, DMN engine and complex event processing (CEP) engine for Java.
A curated list of Domain-Driven Design (DDD), Command Query Responsibility Segregation (CQRS), Event Sourcing, and Event Storming resources
Collection of publicly available IPTV channels from all over the world
《Designing Data-Intensive Application》DDIA中文翻译
🔥 Seata is an easy-to-use, high-performance, open source distributed transaction solution.
带有详细注释的 Redis 3.0 代码（annotated Redis 3.0 source code）。
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
The java implementation of Apache Dubbo. An RPC and microservice framework.
Netty project - an event-driven asynchronous network application framework
RxJava – Reactive Extensions for the JVM – a library for composing asynchronous and event-based programs using observable sequences for the Java VM.
Pravega - Streaming as a new software defined storage primitive
Bug-tracking for Jeff's algorithms book, notes, etc.
hengyunabc / arthas
Forked from alibaba/arthasAlibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
Alibaba Java Diagnostic Tool Arthas/Alibaba Java诊断利器Arthas
JVM Profiler Sending Metrics to Kafka, Console Output or Custom Reporter
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
😎 Awesome lists about all kinds of interesting topics
A curated list of awesome Machine Learning frameworks, libraries and software.
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier