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ai-core-samples

The AI CORE sample workflow templates and example ML notebooks using AI Core SDK calls will enable you to get a quick hands on the product and understand how to productise a ML use case using SAP AI Core.

amazon-sagemaker-build-train-deploy

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

arcgis-python-api

Documentation and samples for ArcGIS API for Python

blog

btp-ai-sustainability-bootcamp

This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.

individualclaimssimulator

The IndividualClaimsSimulator may be used for developing and back-testing individual claims reserving methods in non-life insurance

kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

ml-pipeline

tools make machine learning life easier

ml-template-azure

Template for getting started with automated ML Ops on Azure Machine Learning

mlops

MLOps examples

mlops-amazon-sagemaker

Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker

mlopspython

MLOps using Azure ML Services and Azure DevOps

pipelines-azureml

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

survival

Survival package for R

tensorflow-sagemaker-on-pycharm