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microsoft-machine-learning
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Microsoft Machine Learning for Apache Spark
Updated
Jul 28, 2020
Scala
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.
Updated
Jul 25, 2019
Jupyter Notebook
An unofficial Microsoft Machine Learning Server Docker image.
Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"
Updated
May 14, 2019
Python
A web mapping app to test, tweak and train the land cover classification from a deep neural network model built by
@microsoft
Updated
May 24, 2018
JavaScript
A collection of Microsoft ML experiment Jupyter notebooks.
Updated
Oct 20, 2017
Jupyter Notebook
Machine learning projects implemented by ML.NET using F#
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