Wallless新地址

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

Inpaint anything using Segment Anything and inpainting models.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Python script that slices audio with silence detection

Convert PDF to markdown quickly with high accuracy

Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

This repo is no longer maintained, please use our main Open WebUI repo.

Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.

你想要的计算机经典书籍，这里都有！

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…

利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.

互联网公司技术架构，微信/淘宝/微博/腾讯/阿里/美团点评/百度/OpenAI/Google/Facebook/Amazon/eBay的架构，欢迎PR补充

Curated list of project-based tutorials

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

《The Way to Go》中文译本，中文正式名《Go 入门指南》

The Web framework for perfectionists with deadlines.

The Python micro framework for building web applications.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

The official Python library for the OpenAI API

GUI for a Vocal Remover that uses Deep Neural Networks.

无需情感标注的情感可控语音合成模型，基于VITS

VITS for Mandarin. Support Windows and Linux, low-end and high-end hardwares

AI Girlfriend NSFW chatbot tool in Python - Build your own AI companion in Python using ChatGPT.

Fine-Tuning your VITS model using a pre-trained model

VITS implementation of Japanese, Chinese, Korean, Sanskrit and Thai

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech