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| g3 = Graphics3D[{Gray, KnotData[{6, 2}, "ImageData"]}, | |
| Lighting -> "Neutral", Boxed -> False]; | |
| img = ColorConvert[Rasterize[g3, "Image", ImageResolution -> 72], | |
| "GrayLevel"]; | |
| edge = ColorNegate@EdgeDetect[img]; | |
| Manipulate[ | |
| dots = Image@ |
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| yfiles.module("Life", function (exports) { | |
| var Person = Class('Person', | |
| { | |
| constructor: function (name) { | |
| this.name = name; | |
| }, | |
| toString: function () { | |
| return this.name; | |
| } |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title>Hello, yFiles for HTML</title> | |
| <link type="text/css" rel="stylesheet" href="/OrbyWorks/lib/yfiles.css"> | |
| <style> | |
| html, body, #graphCanvas, .canvascontrol { | |
| width: 100%; | |
| height: 80%; |
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| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <title>Kendo Diagramming</title> | |
| <link rel="stylesheet/less" type="text/css" href="../../styles/web/kendo.common.less"/> | |
| <link rel="stylesheet/less" type="text/css" href="../../styles/web/kendo.default.less"/> | |
| <link rel="stylesheet/less" type="text/css" href="../../styles/dataviz/kendo.dataviz.less"/> | |
| <link rel="stylesheet/less" type="text/css" href="../../styles/dataviz/kendo.dataviz.default.less"/> | |
| <script type="text/javascript" src="../../demos/mvc/content/shared/js/less.js"></script> |
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| Array.prototype.move = function (pos1, pos2) { | |
| var i, tmp; | |
| pos1 = parseInt(pos1, 10); | |
| pos2 = parseInt(pos2, 10); | |
| if (pos1 !== pos2 && | |
| 0 <= pos1 && pos1 <= this.length && | |
| 0 <= pos2 && pos2 <= this.length) { | |
| // save element from position 1 | |
| tmp = this[pos1]; |
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| static void Main(string[] args) | |
| { | |
| var client = new StacManClient(key: "Your-key", version: "2.1"); | |
| var response = client.Search.GetMatchesAdvanced("stackoverflow", | |
| page: 1, | |
| pagesize: 10, | |
| sort:SearchSort.Relevance, | |
| accepted:true, | |
| title:"whatever you like to search for", | |
| order: Order.Desc, |
Orbifold
/ PromisesSequence.html
Created
April 15, 2016 11:58
Chaining promising so they execute sequentially.
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>Title</title> | |
| </head> | |
| <body> | |
| <script type="text/javascript"> | |
| var getters = []; | |
| function getPromise(k) { |
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Orbifold
/ LinearRegressionThreeWays.ipynb
Created
November 4, 2016 06:12
Standard linear regression using TensorFlow, TFLearn and sklearn.
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| require(devtools) | |
| install_version("imager", version = "0.20", repos = "http://cran.us.r-project.org") | |
| library("mxnet") | |
| library(imager) | |
| # can download the model from http://www.orbifold.net/default/R/MxNet/MxNetInception.zip | |
| model = mx.model.load("Inception_BN", iteration=39) | |
| mean.img = as.array(mx.nd.load("mean_224.nd")[["mean_img"]]) |
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