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Flexible-Jekyll is a simple and clean theme for Jekyll

Demo

Check the theme in action Demo

The main page would look like this:

Main page preview

The post page would look like this:

Post page preview

Features

Installation:

Fork the master branch and follow the Jekyll Installation Documentation.

License

GNU General Public License v3.0

Donate

If you like the themes that I create you can become my sponsor on Patreon.

Thank you for your support ❤️

fruitzzx's Projects

base-admin icon base-admin

Base Admin一套简单通用的后台管理系统,主要功能有:权限管理、菜单管理、用户管理,系统设置、实时日志,实时监控,API加密,以及登录用户修改密码、配置个性菜单等

bootstrap icon bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

ferry icon ferry

本系统是集工单统计、任务钩子、权限管理、灵活配置流程与模版等等于一身的开源工单系统,当然也可以称之为工作流引擎。 致力于减少跨部门之间的沟通,自动任务的执行,提升工作效率与工作质量,减少不必要的工作量与人为出错率。

iexcel icon iexcel

📚IExcel is a java tool for create and read excel easy.(excel 读取和写入,解决 excel OOM 问题。)

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。

javaweb-project-source-share icon javaweb-project-source-share

🌱🚀分享基于Servlet、SSH、SSM、SpringBoot等流行技术实现的JavaWeb项目,难度分为5个等级,帮助小白入门JavaWeb开发,协助JavaWeb开发者熟悉最新技术

latent_coincidence_analysis icon latent_coincidence_analysis

Latent Coincidence Analysis - based on a paper by Lawrence K. Saul and Matthew Der. A batch style RMS-Prop optimization method.

litemall icon litemall

又一个小商城。litemall = Spring Boot后端 + Vue管理员前端 + 微信小程序用户前端 + Vue用户移动端

loopranking icon loopranking

CSC Project: Graph Theoretic Eigenvector Approach to Plant Connectivity

mall icon 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。 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。

onefraction icon onefraction

React/ApolloGraphQL/Node/Mongo demo written in Typescript

printed-digits-classification icon printed-digits-classification

This project presents a hybrid algorithm for training RBF network based on K-means and SOM. The algorithm consists of a proposed clustering algorithm to position the RBF center and givens least squares to estimate the weights. The aim of this experiment is to recognize printed digits (1-4) using the hybrid model. In the meanwhile, KNN and MLP with Scaled Conjugate Gradient will be implemented in order to show the comparative of different models according to the experiments.

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