Topic: microsoft-machine-learning Goto Github
Some thing interesting about microsoft-machine-learning
Some thing interesting about microsoft-machine-learning
microsoft-machine-learning,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.
Organization: azure
microsoft-machine-learning,Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"
User: dmitrykazhdan
microsoft-machine-learning,Repository for Microsoft Machine Learning
User: iliyaml
microsoft-machine-learning,A collection of Microsoft ML experiment Jupyter notebooks.
User: johnpaulada
microsoft-machine-learning,An unofficial Microsoft Machine Learning Server Docker image.
User: johnpaulada
Home Page: https://hub.docker.com/r/johnpaulada/microsoftml/
microsoft-machine-learning,Machine learning projects implemented by ML.NET using F#
User: robosek
microsoft-machine-learning,A web mapping app to test, tweak and train the land cover classification from a deep neural network model built by @microsoft
User: vannizhang
Home Page: https://vannizhang.github.io/aiforearth-landcover-app/build/#
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