总结Prompt&LLM论文，开源数据&模型，AIGC应用

A feature-rich command-line audio/video downloader

本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

A pytorch quantization backend for optimum

A Unified Toolkit for Deep Learning Based Document Image Analysis

LLM&VLM Tutorial

Collection of image and video datasets for generative AI and multimodal visual AI

A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

Create web-based user interfaces with Python. The nice way.

Official PyTorch implementation of "TinySAM: Pushing the Envelope for Efficient Segment Anything Model"

Fast Segment Anything

This repo contains the code for our paper Towards Open-Ended Visual Recognition with Large Language Model

Segment Anything in High Quality [NeurIPS 2023]

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

Adapting Segment Anything Model for Medical Image Segmentation

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

Fine-tune Segment-Anything Model with Lightning Fabric.

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

AGE animation official website URL release page（AGE动漫官网网址发布页）

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

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

Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral

Official implementation of SAM-Med2D

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

VLE: Vision-Language Encoder (VLE: 视觉-语言多模态预训练模型)

[ICCV 2023] Official implementation of the paper "A Simple Framework for Open-Vocabulary Segmentation and Detection"

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

OpenMMLab Semantic Segmentation Toolbox and Benchmark.