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#

microsoft-machine-learning

Here are 8 public repositories matching this topic...

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.

  • UpdatedJul 25, 2019
  • Jupyter Notebook

An unofficial Microsoft Machine Learning Server Docker image.

  • UpdatedOct 6, 2017

Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"

  • UpdatedMay 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

  • UpdatedMay 24, 2018
  • JavaScript

Machine learning projects implemented by ML.NET using F#

  • UpdatedJun 6, 2018
  • F#

A collection of Microsoft ML experiment Jupyter notebooks.

  • UpdatedOct 20, 2017
  • Jupyter Notebook

Repository for Microsoft Machine Learning

  • UpdatedNov 11, 2022
  • Jupyter Notebook

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