aiforearth
There are 11 repositories under aiforearth topic.
- Language:Jupyter Notebook 346
microsoft / AIforEarthDataSets
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
Language:Jupyter Notebook 266Tools for detecting wildlife in aerial images using active learning
Language:Python 211- Language:Jupyter Notebook 198
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
Language:C# 125To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=SpeciesClassification&existingrepoid=169153301
Language:Jupyter Notebook 97This 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).
Language:Jupyter Notebook 74- Language:Python 64
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).
Language:Shell 44- ai4eutilsLanguage:Jupyter Notebook 40
Using machine learning to detect beluga whale calls in hydrophone recordings
Language:Python 38- Language:TypeScript 35
Multi-species bioacoustic classification using deep learning algorithms
Language:Python 34A 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.
Language:Jupyter Notebook 33- landcover-orinoquia
Land cover mapping of the Orinoquía region in Colombia, in collaboration with Wildlife Conservation Society Colombia. An #AIforEarth project
Language:Jupyter Notebook 29 A simple .NET Core 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.
Language:C# 16PiSchool / 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.
Language:Jupyter Notebook 3A set of .NET Core libraries for converting AIS AIVDM/AIVDO sentences into different data formats. Sponsored by endjin.