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Open source releases from Microsoft

Azure/active-learning-workshop

Active Learning Workshop Materials

3220

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.

85

Microsoft/AutonomousDrivingCookbook

Scenarios, tutorials and demos for Autonomous Driving

1123247

MicrosoftDocs/bingmaps-docs

Documentation for the Bing Maps developer APIs

3

Microsoft/driver_safety_analysis

Estimating driver safety for connected cars

4

Azure/DataScienceVM

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

7241

Microsoft/deep_bait

Running the most popular deep learning frameworks on Azure Batch AI

169

Azure/pixel_level_land_classification

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

6626


jupyter notebook


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