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Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
【LLMs九层妖塔】分享 LLMs在自然语言处理（ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等）、信息检索（langchain）、语言合成、语言识别、多模态等领域（Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等）等 实战与经验。
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
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/
Materials for the Hugging Face Diffusion Models Course
A remote sensing semantic change detection model
Official PyTorch implementation of ''Change-Agent: Toward Interactive Comprehensive Remote Sensing Change Interpretation and Analysis"
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
Single Image to 3D using Cross-Domain Diffusion for 3D Generation
Collection of papers on state-space models
2021“昇腾杯”遥感影像智能处理算法大赛——语义分割赛道，冠军方案
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
A Large Dataset for Remote Sensing Image Change Captioning
A Pytorch-based toolbox for three different change detection tasks, including binary change detection (BCD), semantic change detection (SCD), and building damage assessment (BDA).
Official LEVIR-CC dataset and Pytorch implementation for Remote Sensing Image Change Captioning With Dual-Branch Transformers: A New Method and a Large Scale Dataset
Simple linear iterative clustering (SLIC) in a region of interest (ROI)
A collection of AWESOME things about domian adaptation
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
A latent text-to-image diffusion model