All Repositories

InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)

The database client every command line junkie deserves.

Taho, the community owned and operated Web3 wallet.

Article publishing platform that automatically distributes your articles to various media channels

A flexible commandline tool for template rendering. Supports lots of local and remote datasources.

搞快点

Linux VR Desktop

stable-diffusion-webui 的汉化扩展

Interface-Driven OS Kernel for AI-Assisted Learning | 面向 AI 的操作系统学习项目

Skip enables the creation of native SwiftUI apps for iOS and Android

Java Docker API Client

Web performance library for measuring all performance vitals metrics

OneTrainer is a one-stop solution for all your Diffusion training needs.

An open-source digital image forensic toolset

icon set made with pure css code, no dependencies, "grab and go" icons

batocera.linux

A cloud-native database based on PostgreSQL developed by Alibaba Cloud.

C 语言教程

:tada: (RuoYi)官方仓库 基于SpringBoot，Spring Security，JWT，Vue & Element 的前后端分离权限管理系统，同时提供了 Vue3 的版本

Very customizable imageboard/booru downloader with powerful filenaming features.

Official FUTO Keyboard Issue Tracker and Source Mirror of https://gitlab.futo.org/keyboard/latinime

中文分词

Cross-platform & feature rich iOS/iPadOS/tvOS sideloading application. Formerly known as PlumeImpactor.

聚合多种主流网盘的直链解析下载服务, 一键解析下载，已支持夸克网盘/uc网盘/蓝奏云/蓝奏优享/小飞机盘/123云盘等. 支持文件夹分享解析. 体验地址: https://lz.qaiu.top https://189.qaiu.top

A project for supporting API Endpoints in ASP.NET Core web applications.

Self-hosted YouTube downloader built on Material Design

Core functionality needed to create .NET Core projects, that is shared between Visual Studio and CLI

Simple key-value storage with support for multiple backends

Visual scripting framework for python

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models" (ICLR 2024)