Popular GitHub Repositories for Health Sensing

Techniques for deep learning with satellite & aerial imagery

?? 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

OpenHealth, AI Health Assistant | Powered by Your Data

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

Query your Apple Health data with natural language ? ?

心理健康大模型、LLM、The Big Model of Mental Health、Finetune、InternLM2、InternLM2.5、Qwen、ChatGLM、Baichuan、DeepSeek、Mixtral、LLama3、GLM4、Qwen2、LLama3.1

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.

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

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

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.

Semantic Segmentation for Remote Sensing

Medical Q&A with Deep Language Models

SparkyFitness: Built for Families. Powered by AI. Track food, fitness, water, and health — together.

This extension makes vscode seamlessly work with dbt?: Auto-complete, preview, column lineage, AI docs generation, health checks, cost estimation etc

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

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.