MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.
Обновлено 2024-11-07 03:53:37 +03:00
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Обновлено 2024-11-06 18:53:00 +03:00
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
Обновлено 2024-10-27 15:51:02 +03:00
Python package for graph statistics
Обновлено 2024-10-09 19:41:04 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Обновлено 2024-07-03 13:54:08 +03:00
Quickstart template as a fork on TDSP (https://github.com/Azure/Azure-TDSP-ProjectTemplate), extending the template with a suggested structure for operationalization using Azure. Includes ARM templates as IaC for resource deployment, template build and release pipelines to enable model CI/CD, template code for working with Azure ML.
Обновлено 2023-03-28 19:45:00 +03:00
GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.
Обновлено 2021-10-19 10:13:54 +03:00
GitHub Action that allows you to register models to your Azure Machine Learning Workspace.
Обновлено 2021-10-19 10:13:21 +03:00
GitHub Action that allows you to submit a run to your Azure Machine Learning Workspace.
Обновлено 2021-10-19 10:12:45 +03:00
GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.
Обновлено 2021-10-19 10:12:10 +03:00
GitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.
Обновлено 2021-10-19 10:11:09 +03:00
Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
Обновлено 2020-07-17 00:00:07 +03:00
This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.
Обновлено 2018-08-10 20:22:24 +03:00