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machine-learning

Content for Udacity's Machine Learning curriculum

machine-reading-comprehension

machine_learning_with_python_code

machinelearningnotebooks

Use the sample notebooks in this repo to explore the Azure Machine Learning service. Start with the 01.getting-started notebooks.

machinelearningsamples-churnprediction

MachineLearningSamples-ChurnPrediction

machinelearningsamples-imageclassificationusingcntk

Image Classification using Azure Machine Learning workbench

masa

Method of Manufactured Solutions Repository

mask_rcnn

Instance Segmenation through Webcam using Mask-RCNN

mermaid

Generation of diagram and flowchart from text in a similar manner as markdown

mermaid.cli

Command-line interface for mermaid

microsoft-translator-websocket-java

This is a Microsoft Translator Java Web Socket Application.

minishift

Run OpenShift locally

ml-benchmarks

Benchmarks for various machine learning packages

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ml-starter-pack

A collection of Machine Learning algorithms written from sctrach.

ml-train-deploy-vsts-k8s

A reference architecture for training and deploying machine learning models using best practice engineering and DevOps principles

mlflow

Open source platform for the complete machine learning lifecycle

mlflow-example

An example MLflow project

mlflow-tracking-azure

Easily deploy an MLFlow Tracking server on Azure

mlflow.net

MLFlow.NET is a .NET Standard 2.0 based wrapper for the REST based MLFlow server API (https://mlflow.org/). The SDK package allows you to call the MLFlow server API from .NET apps. A sample use case is writing a .NET Core app that validates a machine learning model or API and stores the result in MLFlow

mlops

MLOps examples

mlopsdatabricks

MLOps practices using Azure ML service with Python SDK and Databricks for model training

mlopspython

MLOps using Azure ML Services and Azure DevOps

mmlspark

Microsoft Machine Learning for Apache Spark

mmlspark-1

mocha

☕️ simple, flexible, fun javascript test framework for node.js & the browser

models

Models built with TensorFlow

monaco-editor

A browser based code editor

monocular

Web UI for Helm Chart repositories

monodevelop

MonoDevelop is a cross platform .NET IDE