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macaca

Solution for Automation Test with Ease 一套完整的自动化测试解决方案

macaw

Templates, snippets and more for Macaw users.

macchiato

Mocha/Chai inspired C++ test framework for desktop and Arduino (BDD)

macchinetta-qs

Quick start utility for Macchinetta

macdom

HTML preprocessor

machete

A web application for managing a day laborer referral organization. Built using .NET4, Entity Framework, MVC5 + C# + Razor + jQuery + Datatables (datatables.net).

machine

Machine is a workflow/pipeline library for processing data

machine-digest

make digest of the running machine

machine-learning

machine-learning java wrapper project

machine-learning-classify-handwritten-digit

Classify handwritten digits using machine learning techniques Yan Liang, Yunzhi Wang and Delong Zhao Project scope For our machine learning project, we propose to build several machine learning classifiers that recognize handwritten digits. Handwritten digit recognition is a classic problem in machine learning studies for many years. We plan to do several experiments using different machine learning algorithms and compare the pattern recognition performance. We hope to create a classifier that has same or better categorization accuracy than record performance from previous studies. Yan will focus on neural network, Delong will focus on the random forests methods, and Yunzhi will focus on SVMs and KNNs. We will also develop a final novel classifier that combines the best models from our different experiments. We hypothesize that the final classifier will archive a categorization accuracy of 0.99. This indicates that the classifier correctly classified all the handwritten digits but 1% of the images. The goal of handwritten digit recognition is to determine what digit is from an image of a single handwritten digit. It can be used to test pattern recognition theories and machine learning algorithms. Preprocessed standard handwritten digit image database has been developed to compare different digit recognizers. In our semester project, we will use modified National Institute of Standards and Technology (MNIST) handwritten digit images dataset from kaggle digit recognizer project. The Kaggle MNIST dataset is freely available and collected 28,000 training images and 42,000 test images. Each image is a preprocessed single black and white digit image with 28 x 28 pixels. Each pixel is an integer value range from 0 to 255 which represent the brightness of the pixel, the higher value meaning darker. Each image also has a label which is the correct digit for the handwritten image. For each input handwritten image, our model will output which digit we predict and evaluate with the correct label. We will use 28,000 training images to train our machine learning model and use 42,000 test images to test the performance. Then we will calculate the percentage of the test images that are correctly classified and compare the performance of different machine learning algorithms.

machine-learning-coursera-stanford

Machine Learning adventure in python

machine-learning-for-dummies

Thrilogy of talks/workshops aimed at guiding newcomers through Python basics, Data Analysis and Machine Learning.

machine-learning-for-dummies-1

Mirror for https://github.com/mr-ubik/machine-learning-for-dummies

machine-learning-meetup

Possibly a Machine Learning Meetup.

machine_learning

machinekit

machinelearning

machinelearning-kickstarter

This is a Kick starter pack for machine leaning

machinelearningcourse

machinepack-mlang

Generate code from JSON, representing complex tasks and their requirements using Machinepacks

machinewolf

Apulis Platform performance runner

machinomy

machinon-domoticz_theme

macmonitor

MacMonitor.info site to monitor turtle terrarium from Arduino micro-controller sensors

macplus

:computer:

macro_peg

Macro PEG: PEG with macro-like rules

macrocc

JavaScript Conditional Compilation Macro.

macrodynamics

macropy

Macros in Python: quasiquotes, case classes, LINQ and more!

macsen

Cod ar gyfer 'Macsen' - prototeip o gynorthwyydd digidol Cymraeg | Code for 'Macsen' - a prototype Welsh language digital assistant