Pinned Repositories
az-advanced-analytics-lab
az-bot-lab
Experience Microsoft Chat Bot
az-cloudscale-adv-analytics
Azure Hands-on Lab for Cloud Scale Adv. Analytics
az-iot-lab
Microsoft Azure IoT Hands-on Labs online guides
az-secu-wrkshp
Microsoft Azure Security Workshop
azlab-flightdelay-01
azlab-flightdelay-02
azlab-text-analysis
Sentiment Analysis for Tweets
bert-stack-overflow
Train a BERT model with TensorFlow 2.0 to automatically tag StackOverflow questions!
MicrosoftIntelIoTCamp
xlegend1024's Repositories
xlegend1024/az-cloudscale-adv-analytics
Azure Hands-on Lab for Cloud Scale Adv. Analytics
xlegend1024/bert-stack-overflow
Train a BERT model with TensorFlow 2.0 to automatically tag StackOverflow questions!
xlegend1024/azlab-text-analysis
Sentiment Analysis for Tweets
xlegend1024/azlab-flightdelay-02
xlegend1024/architecture-center
Azure Architecture Center
xlegend1024/az-adb-aml-lab
xlegend1024/az-databricks
xlegend1024/az-mlstudio-hol
xlegend1024/azlab-ai-ops
xlegend1024/azlab-aml-pipeline
xlegend1024/azlab-mlops
xlegend1024/azml-mg-ci
xlegend1024/azureml-examples
Official community-driven Azure Machine Learning Examples, tested with GitHub Actions
xlegend1024/bank-marketing
xlegend1024/callcentreanalytics
Build a Call Center Analytics project using Microsoft's Speech to Text API
xlegend1024/datasciencecamp
xlegend1024/IntelligentEdgeHOL
The IntelligentEdgeHOL walks through the process of deploying an Azure IoT Edge module to an Nvidia Jetson Nano device to allow for detection of objects in YouTube videos, RTSP streams, or an attached web cam
xlegend1024/kraftwork
xlegend1024/Many-Models
Implement many models for ML in Azure
xlegend1024/MLOps_VideoAnomalyDetection
Operationalize a video anomaly detection model with Azure ML
xlegend1024/MLOpsTemplate
Providing tools and templates to facilitate modern MLOps practices
xlegend1024/models
Models and examples built with TensorFlow
xlegend1024/mslearn-aml-labs
Azure Machine Learning Lab Notebooks
xlegend1024/NVIDIA-Deepstream-Azure-IoT-Edge-on-a-NVIDIA-Jetson-Nano
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 NVIDIA Jetson Nano device that can process up to 8 real-time video streams concurrently.
xlegend1024/onnxruntime-iot-edge
reference implementation to use ONNX Runtime with Azure IoT Edge
xlegend1024/r-server-hospital-length-of-stay
Hospital length of stay prediction solution with Microsoft R Server
xlegend1024/ray-on-aml
Turning AML compute into Ray cluster
xlegend1024/used-car-price-prediction
xlegend1024/vision-ai-developer-kit
Vision AI Developer Kit Preview
xlegend1024/wow-player-churn