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trunkbased-mlops
This repository showcases how to implement trunk-based development workflow while working in a Machine Learning project.prometheus
Prometheus is a machine learning powered solution for early detection of fires in national parkssynapse-cicd
A GitHub Actions/Azure DevOps implementation of a CI/CD workflow for Azure Synapse or Azure SQL DatabaseContrastiveLearning
This repo demostrates how to use the concept of contrastive learning in an anommaly detection setting with autoencoders (also know as discriminative autoencoders)mlflow-deployments
Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deploy them in production later.mlproject-sample
Sample repository about how to structure an ML project using software engineering practicesdogs-vs-cats-benchmark
Benchmarking Azure Machine Learning Services for training a model with GPU and PyTorch. Full post at Mediumpnp-databricks-monitoring
This sample shows how to stream Databricks metrics to Azure Monitor (log analytics) workspacejobtools
Facilitates the use of Python from the command line with automatic params parsingaml-modules
A repository of drag-and-drop custom modules for Azure Machine Learning Designerazureai-rag-hack
Example about how to use the right model for the right job in a RAG settingportable-sparkml
This repository shows how to create containerized versions of models trained with spark MLLibM72109
Repositorio para el curso M72109azureml-components
This repository contains un-official Azure Machine Learning components to use in AzureML pipelines.azureml-julia
An example about how to train a tree-based decision model using Julia (1.7.2) for the popular Iris dataset in Azure ML.azureml-fabric-together
This repo contains two examples about how you can use Azure Machine Learning and Fabric together.aitour2019
Samples shown in Microsoft AI Tour 2019 for sessions "Taking Machine Learning notch to the next level with Databricks" and "Superman vs Batman: Python and R in Azure"E72102
azureai-x-arize
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