wangbenya Goto Github PK

aml-acceleration-template

apjbootcamp2022

azure-mlops-accelerator

azureml-pipeline-demo

Demo Azure ML pipeline

best-notebooks

best-notebooks for adb

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

deploy-mlmodels-on-iotedge

This repository shows how to deploy machine learning models on Azure IoT Edge.

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

dygraphs

R interface to dygraphs

kedro-test

lendingclubscoringdbx

mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlops-e2e

mlops_workshop

Azure MLOps

mlopspython

mlopspython-bw

mslearn-tailspin-spacegame-web

Code used in Microsoft Learn modules to support Azure DevOps

mslearn-train-package-module-iot-edge

Code sample for MS Learn Module Train and package an Azure machine learning module for deployment to IoT Edge device - Learn Modules at https://docs.microsoft.com/en-gb/learn/modules/train-package-module-iot-edge/

pipelines-azureml

Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service

python-sample-vscode-flask-tutorial

Sample code for the Flask tutorial in the VS Code documentation

python_tutorial_bw

repo_from_local-

simulated-data-transformed

test_repo_python

wp1

code and data for WP1

wp2_git

wp3

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow