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Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Command-line program to download videos from YouTube.com and other video sites
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Models and examples built with TensorFlow
The Python micro framework for building web applications.
The official gpt4free repository | various collection of powerful language models
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Developer-first error tracking and performance monitoring
High-Resolution Image Synthesis with Latent Diffusion Models
Making large AI models cheaper, faster and more accessible
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Official Code for DragGAN (SIGGRAPH 2023)
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
基于大模型搭建的聊天机器人,同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入,可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI,能处理文本、语音和图片,访问操作系统和互联网,支持基于自有知识库进行定制企业智能客服。
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信,三十行即可自定义个人号机器人。
An open-source PAM tool alternative to CyberArk. 广受欢迎的开源堡垒机。
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Write scalable load tests in plain Python 🚗💨