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杜鹏's Projects

1panel icon 1panel

现代化、开源的 Linux 服务器运维管理面板。

30-seconds-of-code icon 30-seconds-of-code

A curated collection of useful JavaScript snippets that you can understand in 30 seconds or less.

30-seconds-zh_cn icon 30-seconds-zh_cn

📔 精选前端问题集,坚持每天 30 秒。https://hacpai.com/article/1553314676872

3y icon 3y

:notebook:从Java基础、JavaWeb基础到常用的框架再到面试题都有完整的教程,几乎涵盖了Java后端必备的知识点

4coder icon 4coder

The final version of the official 4coder codebase. (See Also: https://github.com/Dion-Systems/4coder-non-source)

7z icon 7z

7-Zip Official Chinese Simplified Git Repository (Homepage and 7z Extra package)

99-problems icon 99-problems

This is an adaptation of the Ninety-Nine Prolog Problems written by Werner Hett.

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

aachartkit icon aachartkit

📈📊🚀🚀🚀An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的跨平台数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.

aaframework icon aaframework

AA.Framework is built on the popular open source class library of NET Core

abp icon abp

Open Source Web Application Framework for ASP.NET Core

abphelper icon abphelper

ABPHelper is a Visual Studio Extension(VSIX) that helps you with developing ASP.NET Boilerplate applications.

abphelper.cli icon abphelper.cli

AbpHelper is a tool that help you with developing Abp vNext applications.

abphelper.gui icon abphelper.gui

AbpHelper is a tool that help you with developing Abp vNext applications.

abplayerhtml5 icon abplayerhtml5

Video Player for danmaku comments. ABPlayer in HTML5. ABPlayer核心构件以动态HTML编写的版本。向HTML5进发!HTML5弹幕播放器

acat icon acat

Assistive Context-Aware Toolkit

accelerate icon accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

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