Popular GitHub Repositories for Wifi Sensing

Techniques for deep learning with satellite & aerial imagery

(?■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

?? List of satellite image training datasets with annotations for computer vision and deep learning

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

An open source library and framework for deep learning on satellite and aerial imagery.

A curated list of datasets and code repositories focused on remote sensing change detection.

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 and UAV image segmentation.

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.

rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

Semantic Segmentation for Remote Sensing

A curated list of resources focused on Machine Learning in Geospatial Data Science.

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

Rotational region detection based on Faster-RCNN.

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.

A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

Data Preparation for Satellite Machine Learning

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