Guy Bertental's repositories
smart-home-lobe
smart home example based on lobe.ai image classification and shelly relays
AzureVmssCustomAutoScale
Custom logic for auto scaling Azure Virutual Machive Scale Sets (VMSS) based on Azure Function App
HighResObjectDetectionCustomVision
split high resolution photos into smaller tiles and upload them into custom vision object detection
azure-iot-edge-identity-translation-lite
Azure IoT Edge Identity Translation Module sample.
azure-quickstart-templates
Azure Quickstart Templates
azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
AzureTRE
An accelerator to help organizations build Trusted Research Environments on Azure.
Channel9SessionsDownloader
Easily download session from Microsoft Channel 9 events sessions like //build
Cognitive-Samples-IntelligentKiosk
Welcome to the Intelligent Kiosk Sample! Here you will find several demos showcasing workflows and experiences built on top of the Microsoft Cognitive Services.
DJI-Windows-SDK-UWP-Sample
DJI SDK Sample for Windows 10 and Universal Windows Platform
eventhubloadtest
load test azure hub
fhir-kit-client
Node.js FHIR client library
fhir-server
A service that implements the FHIR standard
generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI đź”— https://microsoft.github.io/generative-ai-for-beginners/
live-video-analytics
A collection of reference applications using live video analytics capabilities in Azure Media Services
mts-trial-deployment-config
contains trial specific configurations
mts-trial-ui
ui elements for trials
OHDSIonAzure
Automation code and documentation for deploying OHDSI CDM in Azure
rag-experiment-accelerator
The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.
tflint-ruleset-azurerm
TFLint ruleset for terraform-provider-azurerm
VideoAnalyticsOpenCV
Read from RTSP or USB Camera or a File using Open CV and send each frame to OCR Endpoint like Form Recognizer
YOLO-V1.2-WinML-Sample
Updated to work with the release preview of Win ML based of work by https://elbruno.com/2018/06/28/winml-how-to-create-a-windows10-app-using-yolo-for-object-detection/ and https://github.com/sevans4067/WinMl-TinyYOLO