Popular GitHub Repositories for Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Effortless data labeling with AI support from Segment Anything and other awesome models.

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

Align Anything: Training All-modality Model with Feedback

Segment Anything for Stable Diffusion WebUI

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

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)

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

Magic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground object from an image and copy it to the clipboard.

Images to inference with no labeling (use foundation models to train supervised models).

[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

"RAG-Anything: All-in-One RAG System"

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API ?

Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具

Tracking and collecting papers/projects/others related to Segment Anything.

Segment-Anything + 3D. Let's lift anything to 3D.

Build Anything with AI Agents

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendations from everyone!

Open Source Generative Process Automation (i.e. Generative RPA). AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models

任意内容描述的实现：详细的本地化图像和视频字幕