ustcgz

ustcgz's Stars

• maxim5/cs229-2018-autumn

  All notes and materials for the CS229: Machine Learning course by Stanford University

  Language:Jupyter Notebook1.8k778

• Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization

  Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

  Language:Jupyter Notebook334157

• theme-shoka-x/hexo-theme-shokaX

  a hexo theme based on shoka

  Language:TypeScript30541

• fluid-dev/hexo-theme-fluid

  :ocean: 一款 Material Design 风格的 Hexo 主题 / An elegant Material-Design theme for Hexo

  Language:JavaScript7.3k1.1k

• 17px/hexo-theme-cosy

  Minimalist, pursuing the ultimate loading speed for a Hexo theme，追求极致加载速度

  Language:Less6610

• anzhiyu-c/hexo-theme-anzhiyu

  安知鱼主题，这是一个简洁美丽的hexo主题。

  Language:Stylus1.4k209

• zfile-dev/zfile

  在线云盘、网盘、OneDrive、云存储、私有云、对象存储、h5ai、上传、下载

  Language:Java9.5k1.8k

• opengoofy/hippo4j

  📌 异步线程池框架，支持线程池动态变更&监控&报警，无需修改代码轻松引入。Asynchronous thread pool framework, support Thread Pool Dynamic Change & monitoring & Alarm, no need to modify the code easily introduced.

  Language:Java5.5k1.2k

• Seazean/JavaNote

  📁我不是的知识的生产者，我只是知识的搬运工

  1.7k533

• krahets/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, 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

  Language:Java96.3k12.2k

• mengzhiAyuan/DreamValley

  该论坛是一个互动交流平台，技术交流或分享有趣的事情，快来加入mengzhiAyuan的奇幻之旅

  Language:Java71

• ben-manes/caffeine

  A high performance caching library for Java

  Language:Java15.8k1.6k

• CN-GuoZiyang/MYDB

  一个简单的数据库实现

  Language:Java849216

• microsoftarchive/redis

  Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes

  Language:C20.8k5.4k

• bcy1252/data_structures_and_algorithms

  java实现基础的数据结构和算法

  Language:Java23

• 2020GetGoodOffer/test

  Java复习合集

  Language:Java440124

• macrozheng/mall

  mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

  Language:Java77.6k28.7k

• ustcgz/Machine_learning_approach_to_Iron_based_soft_magnetic_nanocrystalline_materials_design

  Machine learning approach to Fe-based soft magnetic nanocrystalline materials design

  1

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.7k3.3k

• cystanford/SQL-XMind

  《SQL必知必会》思维导图

  549213

• guofei9987/scikit-opt

  Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

  Language:Python5.2k989

• geatpy-dev/geatpy

  Evolutionary algorithm toolbox and framework with high performance for Python

  Language:Python2k726

• anyoptimization/pymoo

  NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

  Language:Python2.2k384

• KeshengZhang/NSGAII-and-MOEA-D

  nsga2 and MOEA/D

  Language:MATLAB10437

• TimePickerWang/MachineLearning

  Machine Learning in Action学习笔记，一个文件夹代表一个算法，每个文件夹包含算法所需的数据集、源码和图片，图片放在pic文件夹中，数据集放在在Data文件夹内。书中的代码是python2的，有不少错误，这里代码是我用python3写的，且都能直接运行

  Language:Python200163

• dipanjanS/practical-machine-learning-with-python

  Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

  Language:Jupyter Notebook2.3k1.6k

• u6734495-Samyak/Comp4560

  A combination of lightweight, high specific strength, and good castability make magnesium alloys a promising engineering material for the automotive and aerospace industries. Vehicle weight reduction is one of the major means available to improve automotive fuel efficiency. High-strength steels, Aluminium (Al), and polymers are already being used to reduce weight significantly, but substantial additional reductions could be achieved by greater use of low-density magnesium (Mg) and its alloys. This project herein, therefore, relies on the use of machine learning, to assist in the development of A.I. to predict alloy compositions that are potentially useful for future metallic alloys. This study shows how a machine learning approach is able to offer acceptable precision predictions with respect to the main mechanical properties of metals.

  Language:Jupyter Notebook101

• yuhaowang2018/Machine_learning_approach_to_Iron_based_soft_magnetic_nanocrystalline_materials_design

  Machine learning approach to Fe-based soft magnetic nanocrystalline materials design

  Language:Jupyter Notebook1510

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell51.1k11.4k

• youngyangyang04/youngyangyang04

  19441