Tools tagged with "Machine Learning"

Collating all open-source datasets, software tools and deployment platforms related to open-source agriculture.

Forging the new frontier of spatial intelligence to unlock a more autonomous, interoperable world.

Finding the materials of the future with AI and HI for critical mineral exploration.

Fusing irregular and asynchronous SAR-optical time series to reconstruct reflectance at any given time.

CDrone provides a synthetic drone dataset and data augmentation for monocular 3D object detection.

A C library for parsing and normalizing street addresses worldwide using statistical NLP.

A collaborative deep learning framework for conservation, enabling the creation and sharing of AI models.

Provides spaceborn precipitation estimates for Africa using deep learning and geostationary imagery.

Current, historical, and projected climate data for North America, South America, Europe, and Africa.

Turn location data into insightful answers with high-resolution aerial maps and location intelligence.

Satellite image time series analysis for Earth Observation data cubes.

An open-source online book providing an introduction to geographic data science using R.

A curated list of conservation-related labeled datasets not hosted on LILA.

A PyTorch implementation of Google Research's MetNet and MetNet-2 for advanced weather forecasting.

Providing diverse datasets for research in computer vision, image processing, and pattern recognition.

A Python package for robust point cloud registration using various probabilistic models.

A curated collection of papers, data, and repositories related to super-resolution.

Learn to work with geographic data in Python through practical, open-source geocomputation.

A state-of-the-art deep learning library for parsing multinational street addresses.

AI models for classifying wildlife in images from motion-triggered camera traps.

A Python package for segmenting geospatial data with the Segment Anything Model (SAM).

ML Flood Finder Package for Sentinel 1 (SAR) Imagery

Microsoft's advanced simulation platform for building, training, and testing autonomous systems.

Microsoft offers a global dataset of road detections derived from Bing Maps aerial imagery, freely available for download.

OpenCV provides a real-time optimized Computer Vision library, tools, and hardware for ML and AI applications.

A comprehensive platform offering extensive labeled datasets of wildlife imagery for machine learning and computer vision research.

A curated list of papers focusing on geospatial embeddings for Earth data representation.

LiveEO delivers satellite-powered infrastructure and supply chain monitoring, helping organizations detect risks, ensure compliance, and act faster.

Delivering real-time global intelligence and insights through a constellation of Earth observation satellites.

Unlock the power of AI image intelligence for precise photo geolocation.

A learning plan to integrate AI, ML, and DL with GIS for solving geographic problems.

Hexagon measures the world and shapes its future.

Graph-based weather forecasting models implemented in PyTorch.

Worldwide building footprints derived from satellite imagery, freely available for global use.

Improve your Geolocation skills with this comprehensive list of OSINT resources.

Exploring GIS, geospatial, and remote sensing through expert interviews and discussions on the latest technology.