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machine-controller-manager-provider-vsphere

Gardener machine controller manager provider for VMware vSphere

machine-controller-manager-provider-yandex

Machine controller manager provider for Yandex

machine-downtime-monitor-on-aws

Machine Downtime Monitor on AWS is a self-service, cloud solution that customers can utilize to monitor their machines for breakdowns on factory floors. The solution connects to machines on a factory floor via the OPC-DA protocol and provides a near real-time view of machines statuses across lines and factories. The solution deploys Amazon Kinesis stream and provides a flexible model to configure how machine data should be interpreted, based on customers’ needs.

machine-image

machine-image-redis

machine-learning-at-scale

machine learning at scale on Azure Machine Learning

machine-learning-aws-ansiibleplaybook

Automating creation of Virtual Private Cloud in Amazon Web Services

machine-learning-best-practices

Practices and Tips for Machine Learning with Azure (Japanese)

machine-learning-book-club

Syllabus for Machine Learning Crash Course

machine-learning-browser-extension

machine-learning-charter

Discussions on a possible charter for a future W3C Working Group developing Machine Learning solutions

machine-learning-dgm

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

machine-learning-for-telecommunications

A base solution that helps to generate insights from their data. The solution provides a framework for an end-to-end machine learning process including ad-hoc data exploration, data processing and feature engineering, and modeling training and evaluation. This baseline will provide the foundation for industry specific data to be applied and models created to release industry specific ML solutions.

machine-learning-go-client

machine-learning-lab

ML Lab enables teams to be more productive in delivering machine learning solutions for their products and datasets.

machine-learning-notebooks

machine-learning-on-oracle-cloud

machine-learning-operationalization

Deploying machine learning models to Azure

machine-learning-post-2-abnormal-behavior

Information and data sets related to the 2nd part of the machine learning post series

machine-learning-server-docs

This is the GitHub repository for the technical product documentation for Machine Learning Server. See the README.md file for more. This documentation is published to:

machine-learning-workshop

Materials from he intro to machine learning workshop at summer summit 2018

machine-learning-workshop-1

Site of W3C Workshop on Web & Machine Learning

machine-package

Packages up docker-machine and appropriate drivers

machine-remediation

Incubating: Deploy all components to recognize unhealthy machines and apply different remediation strategies on it

machine-spec

Defines gRPC machine-interface for machine-controller-manager

machine-to-cloud-connectivity-framework

Machine to Cloud Connectivity Framework is a reference implementation that enables connectivity between equipment supporting Open Protocol Communication Data Access (OPC DA) and Open Protocol Communication Unified Architecture (OPC UA) can be used to build connectors for other protocols within factories.

machine-translation-testing-content

This is a repository for testing machine translations of English content.

machinebeat

This is a beat for collecting data of machines, sensors and PLCs. At the moment this is supporting OPC UA and MQTT. More to add.

machined

A static site generator and Rack server built using Sprockets 2.0

machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.