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.

mlbase.jl

A set of functions to support the development of machine learning algorithms

mlflow

Open source platform for the complete machine learning lifecycle

mlr3

mlr3: Machine Learning in R - next generation

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

mmkv

An efficient, small mobile key-value storage framework developed by WeChat. Works on iOS and Android.

mobile

http://openjdk.java.net/projects/mobile/

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

mobile-security-framework-mobsf

Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.

mobilize-base

Mobilize is a script deployment and data visualization framework with a Google Spreadsheets UI. Mobilize uses Resque for parallelization and queueuing, MongoDB for caching, and Google Drive for hosting, user input and display.

mocha.jl

Deep Learning framework for Julia

modelio

Modelio is a modeling solution offering a wide range of functionalities based on the main standards of enterprise architecture, software development and systems engineering.

models

Models and examples built with TensorFlow

module-foundry

A web service for building node.js modules that runs on Linux, SmartOS and Windows.

modules

Environment Modules: provides dynamic modification of a user's environment

moler

Moler – library to help in building automated tests

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