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cifar-10

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# CIFAR 10 Library for Javascript [![Build Status](https://travis-ci.org/zestime/cifar-10.svg?branch=master)](https://travis-ci.org/zestime/cifar-10) [![Coverage Status](https://coveralls.io/repos/github/zestime/cifar-10/badge.svg?branch=master)](https://coveralls.io/github/zestime/cifar-10?branch=master) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![NPM](https://nodei.co/npm/cifar-10.png)](https://nodei.co/npm/cifar-10/) As you know, [CIFAR-10](https://www.cs.toronto.edu/~kriz/cifar.html) is famous library in Deep Learning. In python, this library is easy to test, while it is difficult to manuplate it in Javascript. ## Features - based on stream : use less memory - exclude data file : only adapter without data files - general purpose : this is not design for only CIFAR-10 ## How to use This is quite simple, but you should run the `get_datasets.sh`, which downloads an actual data file(CIFAR-10 binary version). ``` $ ./node_modules/cifar-10/get_datasets.sh ``` It will download data files and this script use `wget`. After that, you can access data by `load()`. ``` const CIFAR10 = require('cifar-10'); const { X_train, y_train, X_test, y_test } = await CIFAR10.load(); // or callback style CIFAR10.load().then(function(data) { // data = { X_train, y_train, X_test, y_test } }); ``` ## APIs ### Load(option) Return new promise to process data from given option. ``` option = { totalSize, // the length of bytes for each case mapper, // binary to matrix mapper trainFiles, // array for files to be a training set testFiles, // array for files to be a testing set } ``` For example, [this example](https://github.com/zestime/cifar-10/blob/master/src/index.js#L42) is for CIFAR 10. # Contributing PR or issue reporting are always welcome. Feel free to report or advice to this project.