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KrydenZ's Projects

about-neural-networks icon about-neural-networks

慕课网上深度学习之神经网络(CNN RNN GAN)算法原理+实战练习的代码和部分数据

advanced-java icon advanced-java

😮 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

cs-notes icon cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

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55个国家的300所大学用于教学。

ensemblelearning icon ensemblelearning

包括决策树和随机森林进行离职人员预测,Xgboost和lightGBM的应用

flutter icon flutter

Flutter makes it easy and fast to build beautiful apps for mobile and beyond

fullstack-tutorial icon fullstack-tutorial

🚀 fullstack tutorial 2022,后台技术栈/架构师之路/全栈开发社区,春招/秋招/校招/面试

java-base icon java-base

java-agent、jvm-access、jvm-classloader、jUnitPerf、Java基础算法;JAVA基础知识、枚举、反射、异常、泛型、集合、线程、代理;我的博客里面有相应的解释,以及动态的gif图片引导你理解

javaguide icon javaguide

「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!

play-with-algorithms icon play-with-algorithms

Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码,包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

play-with-data-structures icon play-with-data-structures

Codes of my MOOC Course <Play Data Structures in Java>. Updated contents and practices are also included. 我在慕课网上的课程《Java语言玩转数据结构》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

play-with-machine-learning-algorithms icon play-with-machine-learning-algorithms

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

ssh_employee_management_system icon ssh_employee_management_system

慕课网《基于SSH实现员工管理系统之案例实现篇》的完整实现代码,主要包括部门管理和员工管理两部分。项目改为使用Maven进行配置,并增加了用于权限控制的过滤器和EasyUI时间插件。

system-design-primer icon system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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