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applications-of-ai-for-predictive-maintenance

Nvidia DLI workshop on AI-based predictive maintenance techniques to identify anomalies and failures in time-series data, estimate the remaining useful life of the corresponding parts, and map anomalies to failure conditions.

azure-digital-twins-unreal-integration

Sample project demonstrating the Unreal Engine plug-in for Azure Digital Twins

azure-sdk-for-js

This repository is for active development of the Azure SDK for JavaScript (NodeJS & Browser). For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/javascript/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-js.

drone-project

dtdlontologyviewer

Basic Ontology Editor

fault-diagnosis-of-gear-box-using-deep-learning-algorithms

Built Fault Detection model using ANN algorithms based on time and frequency domain data and applied various Parameter and Hyperparameter tuning strategies. Developing fault detection model using CNN

iot-data-simulator

Generic IoT data simulator. Provides possibility to replay datasets or generates data on fly. Supports various IoT platforms out of the box.

iot-samples

Collection of samples to help developers build their own IoT solution for Omniverse

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

mock-devices

A desktop simulator for running mock devices connecting to an Azure IoT Hub

nexe

🎉 create a single executable out of your node.js apps

onnxruntime-unrealengine

Apply a Style Transfer Neural Network in real time with Unreal Engine 5 leveraging ONNX Runtime.

opendigitaltwins-building

WillowTwin open digital twin definition language (DTDL) ontology for buildings and real estate

pyhaystack

Pyhaystack is a module that allow python programs to connect to a haystack server project-haystack.org. Connection can be established with Niagara Platform running the nhaystack, Skyspark and Widesky. For this to work with Anaconda IPython Notebook in Windows, be sure to use "python setup.py install" using the Anaconda Command Prompt in Windows. If

rec

RealEstateCore ontologies.

unreal-onnxruntime-nni-example

vae-lstm-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.