aiforearth
There are 18 repositories under aiforearth topic.
microsoft/PlanetaryComputerExamples
Examples of using the Planetary Computer
microsoft/AIforEarthDataSets
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
microsoft/aerial_wildlife_detection
Tools for detecting wildlife in aerial images using active learning
microsoft/landcover
Land Cover Mapping
ais-dotnet/Ais.Net
.NET Standard, high performance, zero allocation AIS decoder, which can process millions of AIVDM/AIVDO sentences per second on a single core. Sponsored by endjin
microsoft/SpeciesClassification
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=SpeciesClassification&existingrepoid=169153301
microsoft/AIforEarth-API-Development
This is an API Framework for AI models to be hosted locally or on the AI for Earth API Platform (https://github.com/microsoft/AIforEarth-API-Platform).
microsoft/planetary-computer-sdk-for-python
Planetary Computer SDK for Python
microsoft/AIforEarth-API-Platform
The AI for Earth API Platform is a distributed infrastructure designed to provide a secure, scalable, and customizable API hosting, designed to handle the needs of long-running/asynchronous machine learning model inference. It is to be used with the AI For Earth API Framework (https://github.com/microsoft/AIforEarth-API-Development).
microsoft/Multi_Species_Bioacoustic_Classification
Multi-species bioacoustic classification using deep learning algorithms
microsoft/belugasounds
Using machine learning to detect beluga whale calls in hydrophone recordings
microsoft/ai4eutils
Shared utility scripts for AI for Earth projects and team members
microsoft/PlanetaryComputerDataCatalog
Data catalog for the Microsoft Planetary Computer
microsoft/arcticseals
A deep learning project in cooperation with the NOAA Marine Mammal Lab to detect & classify arctic seals in aerial imagery to understand how they’re adapting to a changing world.
microsoft/landcover-orinoquia
Land cover mapping of the Orinoquía region in Colombia, in collaboration with Wildlife Conservation Society Colombia. An #AIforEarth project
ais-dotnet/Ais.Net.Receiver
A simple .NET AIS Receiver for capturing the Norwegian Coastal Administration AIS network data (available under Norwegian license for public data (NLOD)) and persisting in Microsoft Azure Blob Storage. Sponsored by endjin.
PiSchool/noa-xai-for-wildfire-forecasting
Code for the School of AI challenge "Explainable AI for Wildfire Forecasting", sponsored by Pi School to help NOA, the National Observatory of Athens, work with Explainable Deep Learning for Wildfire Forecasting.
ais-dotnet/Ais.Net.Converters
A set of .NET Core libraries for converting AIS AIVDM/AIVDO sentences into different data formats. Sponsored by endjin.