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Microsoft sat down with DNV GL in their headquarters to execute on a five-day-hackathon where the focus was to predict external corrosion on pipelines using Machine Learning.MyFitnessPal-Python-Dashboard
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Pirate ship learns to find the treasure through reinforcement learning (Q-Learning Epsilon Greedy Policy)BaneNOR-Technical-Case-Study-From-reactive-to-proactive-maintenance-Reduce-railway-delays
This project had the key goal of taking BaneNOR closer from reactive to proactive maintenance.Train-track-circuit-failure-and-condition-monitoring
Train track circuit failure and condition monitoringFrom-wood-to-paper-with-AI
Microsoft joined up with a multinational company in South Africa with a goal of incorporating smarter ways of creating high quality paper.Power-BI-and-R-Anomaly-Detection-Framework-in-Close-To-Real-Time-
This project had the key goal of implementing a lightweight R script with the Power BI “R interface” to expose anomalies in data (in close to real time) - inside a Power BI embedded report.Xamarin-Hackfest-2017
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A set of algorithms in Jupyter Notebook with datasets includedPowel-power-station-inspection-bot
From the 15-17th of March 2017 at Microsoft offices in Lysaker - Norway, Microsoft teamed up with Powel to create a brand-new bot called **André**. The aim of the hackfest was to create a chatbot that could assist field engineers within the space of electrical grids to answer questions and provide valuable information about the current scenario at hand. The solution was built using tools from Microsoft leveraging Chatbots and Conversation as a Platform (CaaP) technologies.Love Open Source and this site? Check out how you can help us