
Stars
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / DeepSeek / Qwen), Knowledge Base (file upload / knowledge managemen…
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
📚 Freely available programming books
一个高质量、经典计算机书籍推荐清单,特点为:只收集高质量,各方向经典书籍,不求书多,只求书精。
Langchain-Chatchat(原Langchain-ChatGLM)基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
The world’s fastest framework for building websites.
Flash OS images to SD cards & USB drives, safely and easily.
Stable Diffusion web UI
The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows
A latent text-to-image diffusion model
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
A Gradio web UI for Large Language Models with support for multiple inference backends.
Lightweight Lenovo Vantage and Hotkeys replacement for Lenovo Legion laptops.
A fast, simple & powerful blog framework, powered by Node.js.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Real-Time High-Resolution Background Matting
Python - 100天从新手到大师
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06