An easy to use wrapper around the Azure DevOps REST API
Обновлено 2024-10-25 12:52:52 +03:00
this repo provides best practice guidance, plan template, solution assessment tool etc. to help Machine Learning Studio(classic) customer adopt Azure Machine Learning.
Обновлено 2024-07-23 05:46:51 +03:00
XTlib is an API and command line tool for scaling and managing ML experiments. The goal of XTLib is to enable you to effortlessly organize and scale your ML experiments. Our tools offer an incremental approach to adoption, so you can begin realizing benefits immediately..
Обновлено 2023-07-06 00:02:50 +03:00
Record-and-replay tools are indispensable for quality assurance of mobile applications. However, by conducting an empirical study of various existing tools in industrial settings, researchers have concluded that no existing tools under evaluation are sufficient for industrial applications. In this project, we present a record-and-replay tool called SARA towards bridging the gap and targeting a wide adoption.
Обновлено 2023-06-12 21:21:33 +03:00
Tools and scripts to load data from Hadoop clusters to Azure Data Lake Storage using Data Box
Обновлено 2023-05-08 20:17:24 +03:00
A template repository for quickly adopting Azure Machine Learning
Обновлено 2020-12-10 18:32:06 +03:00
Simple repository with ADO pipeline for PyPI Releases
Обновлено 2020-06-11 17:34:47 +03:00
INACTIVE - http://mzl.la/ghe-archive - ping-centre based, up-to-the-minute display of global Firefox Quantum adoption
Обновлено 2017-11-14 02:13:03 +03:00
INACTIVE - http://mzl.la/ghe-archive - A DataDog plugin for reporting health of the HP servers
Обновлено 2016-01-15 01:21:10 +03:00
Efficient Hadoop Map-Reduce in Python
Обновлено 2014-09-02 20:11:06 +04:00