Support ML teams to accelerate their model deployment to production leveraging Azure
Обновлено 2024-08-05 10:21:15 +03:00
Enables inference and deployment of InnerEye-DeepLearning (https://github.com/microsoft/InnerEye-deeplearning) models as an async REST API on Azure
Обновлено 2024-03-21 12:48:29 +03:00
This repository provides an example of a decision support deployment in python. The deployment interface connects to an exported brain and runs in a web browser.
Обновлено 2024-01-12 20:41:42 +03:00
This is an azure-cli extension which helps in easy deployments to Azure using Github Actions.
Обновлено 2023-10-18 00:14:01 +03:00
A macOS deployment utility developed by Mozilla IT
Обновлено 2023-08-16 18:38:51 +03:00
Hydrate crawls a kubernetes cluster and generates a high level description of your deployments.
Обновлено 2023-07-25 19:32:46 +03:00
Time Series Forecasting Best Practices & Examples
machine-learning
python
deep-learning
artificial-intelligence
r
best-practices
jupyter-notebook
automl
lightgbm
hyperparameter-tuning
model-deployment
prophet
retail
tidyverse
time-series
azure-ml
demand-forecasting
dilated-cnn
forecasting
Обновлено 2023-05-01 00:54:37 +03:00
Prepackaged and precompiled github codeql container for rapid analysis, deployment and development.
Обновлено 2023-04-29 02:09:08 +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
INACTIVE - http://mzl.la/ghe-archive - Vendor lib for MozTrap deployment
Обновлено 2019-03-29 18:55:04 +03:00
INACTIVE - http://mzl.la/ghe-archive - Runner for Windows deployments
Обновлено 2014-11-18 21:31:52 +03:00
[deprecated] Frontend of Captain Shove, the new deployment hotness.
Обновлено 2014-10-31 23:17:07 +03:00