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McMaster University
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仅需Python基础,从0构建大语言模型;从0逐步构建GLM4\Llama3\RWKV6, 深入理解大模型原理
《Golang修养之路》本书针对Golang专题性热门技术深入理解,修养在Golang领域深入话题,脱胎换骨。
Write scalable load tests in plain Python 🚗💨
Ecore metamodel reverse engineering: Automatically extract EMF metamodels from Java code.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
📚Java核心知识点整理(包括Java基础、JVM、数据库、计算机网络、算法、操作系统、设计模式、系统设计、框架原理)
带有详细注释的 Redis 3.0 代码(annotated Redis 3.0 source code)。
Advanced data structure and algorithm for system design,系统设计需要了解的算法
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Learn how to design large-scale systems. Prep for the system design interview.
A curated list of resources on software architecture
😮 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
7 days golang programs from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM, rpc framework GeeRPC etc) 7天用Go动手写/从零实现系列
Boost.Geometry - Generic Geometry Library | Requires C++14 since Boost 1.75
JPF is an extensible software analysis framework for Java bytecode. jpf-core is the basis for all JPF projects; you always need to install it. It contains the basic VM and model checking infrastruc…
😱 从源码层面,剖析挖掘互联网行业主流技术的底层实现原理,为广大开发者 “提升技术深度” 提供便利。目前开放 Spring 全家桶,Mybatis、Netty、Dubbo 框架,及 Redis、Tomcat 中间件等
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
A platform for building proxies to bypass network restrictions.
📖Java工程师学习历程与笔记,附含算法、Java基础、框架实战、框架源码、框架实现、中间件、面试题等知识和学习蓝图。
👨🎓 Java Core Sprout : basic, concurrent, algorithm
【Java工程师面试复习指南】本仓库涵盖大部分Java程序员所需要掌握的核心知识,整合了互联网上的很多优质Java技术文章,力求打造为最完整最实用的Java开发者学习指南,如果对你有帮助,给个star告诉我吧,谢谢!
A curated list of awesome frameworks, libraries and software for the Java programming language.
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.