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{
"author": "Heather Arthur <fayearthur@gmail.com>",
"type": "module",
"browser": "./dist/brain-browser.js",
"bugs": {
"url": "https://github.com/brainjs/brain.js/issues"
},
"dependencies": {
"gpu.js": "^2.0.0-rc.25",
"thaw.js": "^2.0.0"
},
"description": "Neural networks in JavaScript",
"devDependencies": {
"eslint": "^6.1.0",
"eslint-config-airbnb": "^17.1.1",
"eslint-config-prettier": "^6.0.0",
"eslint-plugin-jest": "^22.14.1",
"fast-xml-parser": "^3.12.19",
"gpu-mock.js": "^1.1.0",
"jest": "^24.8.0",
"parcel-bundler": "^1.12.3",
"prettier": "^1.18.2"
},
"files": [
"dist/",
"src/"
],
"homepage": "https://github.com/brainjs/brain.js#readme",
"jest": {
"bail": true,
"collectCoverage": false,
"collectCoverageFrom": [
"src/**/*.js"
],
"coverageDirectory": "__coverage__",
"globalSetup": "",
"globals": {},
"setupFiles": [],
"testPathIgnorePatterns": [
"__tests__/test-utils.js",
"__tests__/.eslintrc.js"
],
"verbose": false,
"testEnvironment": "node"
},
"keywords": [
"ai",
"artificial-intelligence",
"brain",
"brainjs",
"brain.js",
"feed forward",
"neural network",
"classifier",
"neural",
"network",
"neural-networks",
"machine-learning",
"synapse",
"recurrent",
"long short term memory",
"gated recurrent unit",
"time series",
"time step",
"prediction",
"rnn",
"lstm",
"gru"
],
"license": "MIT",
"main": "./src/index.js",
"name": "brain.js",
"repository": {
"type": "git",
"url": "git+ssh://git@github.com/brainjs/brain.js.git"
},
"scripts": {
"bundle-web": "parcel build ./src/index.js --out-dir ./dist --out-file brain-browser.js --no-minify",
"bundle-web:minified": "parcel build ./src/index.js --out-dir ./dist --out-file brain-browser.min.js",
"dist": "npm run bundle-web && npm run bundle-web:minified",
"lint": "eslint --ext .js ./src ./__tests__",
"lint:fix": "eslint --ext .js --fix ./src ./__tests__",
"prettier": "prettier --write {src,__tests__}/**/*.js",
"test": "jest --env=node",
"test:coverage": "jest --coverage --env=node",
"test:watch": "jest --watch --env=node"
},
"typings": "./src/index.d.ts",
"version": "2.0.0-alpha.2"
}