torchange - A Unified Change Representation Learning Benchmark Library

Must-read papers on graph neural networks (GNN)

Graph Neural Network Library for PyTorch

A pytorch project of the algorithm FCD-GAN. Fully Convolutional Change Detection Framework with Generative Adversarial Network (FCD-GAN) is a newly proposed framework for change detection in multi-…

YAYI 2 是中科闻歌研发的新一代开源大语言模型，采用了超过 2 万亿 Tokens 的高质量、多语言语料进行预训练。(Repo for YaYi 2 Chinese LLMs)

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

Ultralytics YOLO 🚀

Chinese version of GPT2 training code, using BERT tokenizer.

A Change Detection Repo Standing on the Shoulders of Giants

利用Segment Anything(SAM)模型进行快速标注

Earth Vision Foundation

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.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

A pythonic wrapper to the PyDenseCRF package.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, …

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

PyTorch implementations of Generative Adversarial Networks.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A comprehensive and up-to-date compilation of datasets, tools, methods, review papers, and competitions for remote sensing change detection.

🤘 awesome-semantic-segmentation

deep learning for image processing including classification and object-detection etc.

Yet another repository for developing and benchmarking deep learning-based change detection methods.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.