microsoft-machine-learning
There are 7 repositories under microsoft-machine-learning topic.
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.
johnpaulada/microsoftmlserver-docker
An unofficial Microsoft Machine Learning Server Docker image.
dmitrykazhdan/Representing-Programs-with-Graphs
Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"
vannizhang/aiforearth-landcover-app
A web mapping app to test, tweak and train the land cover classification from a deep neural network model built by @microsoft
robosek/f-sharp-machine-learning
Machine learning projects implemented by ML.NET using F#
johnpaulada/microsoftml-experiment-notebooks
A collection of Microsoft ML experiment Jupyter notebooks.
iliyaML/ms-machine-learning
Repository for Microsoft Machine Learning