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.

Mysterium VPN is a Desktop VPN client for Windows, macOS and Linux

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Techniques for deep learning with satellite & aerial imagery

深度学习入门教程, 优秀文章, Deep Learning Tutorial

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image …

PyTorch implementation of popular datasets and models in remote sensing

采用Pytorch的入门语义分割项目，支持的网络有Unet和Segnet；遥感语义分割；Unet；Segnet；Remote sensing semantic segmentation；

PyTorch实现高分遥感语义分割（地物分类）

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

List of datasets, codes, and contests related to remote sensing change detection

A list of active learning methods for deep learning.

Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)

A PyTorch toolkit with 8 popular deep active learning query methods implemented.

This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).

An implementation of the state-of-the-art Deep Active Learning algorithms

Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)

Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot. Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data, IEEE GRSL, 2020.

Download tools for obtaining data such as Google, remote sensing images and satellite laser altimetry through python

This systems works for keeping track the season crop dynamics based on remote sensing images.

Scale-Sets Toolkit for Segmentation of Remote Sensing Images

A set of notebook tutorials for RSGISLib.

A Coarse-to-fine Boundary Refinement Network for Building Extraction from Remote Sensing Imagery

Remote Sensing and GIS Software Library; python module tools for processing spatial data.

Geo-spatial utilities for Remote Sensing and GIS application