microsoft / MLOps_VideoAnomalyDetectionLinks
Operationalize a video anomaly detection model with Azure ML
☆136Updated 2 years ago
Alternatives and similar repositories for MLOps_VideoAnomalyDetection
Users that are interested in MLOps_VideoAnomalyDetection are comparing it to the libraries listed below
Sorting:
- Vision AI Developer Kit Preview☆129Updated 2 years ago
- Architecture for deploying real-time scoring of machine learning models using Azure Machine Learning☆46Updated 5 years ago
- Unofficial Python client for Azure cognitive search☆11Updated 6 years ago
- Template for getting started with automated ML Ops on Azure Machine Learning☆130Updated 3 years ago
- AKS Deployment Tutorial☆34Updated 5 years ago
- Anomaly detection in videos using deep learning.☆71Updated 4 years ago
- reference implementation to use ONNX Runtime with Azure IoT Edge☆63Updated 5 years ago
- Learn how to use the Cognitive Services Python SDK with these samples☆186Updated last year
- Samples for the Anomaly Detection API documentation:☆107Updated 2 months ago
- Official Azure Reference Architectures for AI workloads☆74Updated 2 years ago
- Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service☆116Updated 3 years ago
- Demonstrate samples and good engineering practice for operationalizing machine learning solutions.☆20Updated 4 years ago
- ☆157Updated 2 years ago
- The IntelligentEdgeHOL walks through the process of deploying an IoT Edge module to an Nvidia Jetson Nano device to allow for detection o…☆95Updated last year
- Batch scoring Spark models on Azure Databricks: A predictive maintenance use case☆50Updated 6 years ago
- Demo for MLOps with Azure Machine Learning☆11Updated 3 years ago
- Managing Data and Model Drift with Azure Machine Learning☆48Updated 3 years ago
- ☆198Updated 3 years ago
- Providing tools and templates to facilitate modern MLOps practices☆89Updated last year
- Modular and minimalistic MLOps recipes☆71Updated 5 years ago
- This is a sample showing how to do real-time video analytics with NVIDIA DeepStream connected to Azure via Azure IoT Edge. It uses a NVID…☆181Updated 4 years ago
- MachineLearningSamples-PredictiveMaitenance☆69Updated 6 years ago
- A sample showing how to take advantage of the intelligent edge using Azure ML, IoT and Edge☆31Updated 3 years ago
- This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.☆41Updated 3 years ago
- A workshop for doing MLOps on Azure Machine Learning☆35Updated 3 years ago
- GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.☆20Updated 4 years ago
- Creating an Azure IoT Edge Python module project from this Python package project template.☆11Updated 3 years ago
- Quickstart to deploy an Intelligent Video Analytics application running at the edge over multiple cameras and with custom AI models.☆47Updated 5 years ago
- The IntelligentEdgeHOL walks through the process of deploying an Azure IoT Edge module to an Nvidia Jetson Nano device to allow for detec…☆42Updated last year
- Guided accelerator consolidating best practice patterns, IaaC and AML code artefacts to provide a reference approach to implementing MLOp…☆51Updated last year