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GBN's starred repositories

v2rayN

A GUI client for Windows, support Xray core and v2fly core and others

Language:C#GPL-3.06763400

tun2socks_gui_for_windows

A simple gui for tun2socks on windows. 配合v2ray、ss等客户端(eg. v2rayN)，可使其实现tun模式。

Language:PythonGPL-3.012900

tun2socks

tun2socks - powered by gVisor TCP/IP stack

Language:GoGPL-3.0313600

A-Guide-to-Modernizing-the-WotLK-Client

A guide to modernizing your World of Warcraft: Wrath of the Lich King 3.3.5a client installation for use with private servers.

10800

ZeroTierOne

A Smart Ethernet Switch for Earth

Language:C++NOASSERTION1430400

pokemon-go-xposed

📱 Xposed module for Pokemon Go - Circumvents the certificate pinning by injecting the expected SSL trust chain, allows you to MITM and to configure a custom API endpoint.

Language:JavaMIT12900

PraxisMapper

Backend API for location-based games or mapping applications powered by OpenStreetMap data. Renders maptiles without external dependencies in C# from SQL Server, MariaDB, or PostgreSQL

Language:C#Apache-2.04900

SoftEtherVPN

Cross-platform multi-protocol VPN software. Pull requests are welcome. The stable version is available at https://github.com/SoftEtherVPN/SoftEtherVPN_Stable.

Language:CApache-2.01153700

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

Language:PythonGPL-3.06444400

unbot-addon

基于 UnBot 插件修改的机器人控制插件，作为 AzerothCore 机器人模组的配套插件

Language:Lua5700

azerothcore-wotlk

Complete Open Source and Modular solution for MMO

Language:C++AGPL-3.011500

mod-individual-progression

AzerothCore Individual Progression Module

Language:C++MIT100

mod-playerbots

AzerothCore Playerbots Module

Language:C++AGPL-3.024400

evemu_Crucible

Emulator for EvE Online's Crucible expansion

Language:C++17400

arpes

Mirror of PyARPES (gitlab/lanzara-group/python-arpes) the open source ARPES analysis framework

Language:PythonNOASSERTION3800

Phaser

BCDI phase retrieval module written in Python 3.x. GPU implementation done using Tensorflow 2.1, with an older library available that uses Tensorflow 1.x.

Language:Jupyter Notebook900