santiagxf/E72102

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santiagxf/E72102

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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 parks

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synapse-cicd

A GitHub Actions/Azure DevOps implementation of a CI/CD workflow for Azure Synapse or Azure SQL Database

ContrastiveLearning

This repo demostrates how to use the concept of contrastive learning in an anommaly detection setting with autoencoders (also know as discriminative autoencoders)

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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.

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mlproject-sample

Sample repository about how to structure an ML project using software engineering practices

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dogs-vs-cats-benchmark

Benchmarking Azure Machine Learning Services for training a model with GPU and PyTorch. Full post at Medium

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pnp-databricks-monitoring

This sample shows how to stream Databricks metrics to Azure Monitor (log analytics) workspace

jobtools

Facilitates the use of Python from the command line with automatic params parsing

aml-modules

A repository of drag-and-drop custom modules for Azure Machine Learning Designer

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azureai-rag-hack

Example about how to use the right model for the right job in a RAG setting

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portable-sparkml

This repository shows how to create containerized versions of models trained with spark MLLib

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M72109

Repositorio para el curso M72109

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azureml-components

This repository contains un-official Azure Machine Learning components to use in AzureML pipelines.

interpret

A repository with examples about how to use different interpretability techniques.

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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.

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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"

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azureai-x-arize

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