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Francois Vanderseypen Orbifold

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Happy. Thinking. Understanding.
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Orbifold / GraphFrames.ipynb
Last active August 16, 2019 06:27
GraphFrames.ipynb
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Orbifold / WalmartStock.ipynb
Created August 13, 2019 05:09
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Orbifold / Logistic_Regression_Titanic.ipynb
Last active August 11, 2019 09:24
Most basic example of Using MLlib on Spark.
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Orbifold / QuiverPublisher.js
Created June 9, 2019 17:07
Script to publish Quiver markdown notebooks to WordPress.
// You need to export first a notebook from Quiver (https://happenapps.com) to markdown.
// Use the directory path below to publish all the markdown files and the images to a WordPress site.
// Make sure you install lodash, wordpress and fs-extra.
// Set the ur, username and password of WordPress and run `node QuiverPublisher.js'.
// Note that images are deleted and recreated since the overwrite flag of the xmlrpc wp-method does not work.
const wordpress = require('wordpress');
const fs = require('fs-extra');
const _ = require('lodash');
const path = require('path');
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Orbifold / OptimalPortfolio.R
Created November 10, 2016 13:46
Computing the efficient frontier in R
library(stockPortfolio)
library(quadprog)
library(ggplot2)
stocks <- c("SPY", "EFA", "IWM", "VWO", "LQD", "HYG")
returns <- getReturns(stocks, freq = "week")
eff.frontier <- function (returns,
short = "no",
max.allocation = NULL,
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Orbifold / TensorFlow hello world.md
Created September 1, 2018 12:57
TensorFlow hello world 
	import tensorflow as tf


	import numpy as np
	x_input = np.array([[1,2,3,4,5]])
	y_input = np.array([[10]])
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Orbifold / Pytorch hello world.md
Created September 1, 2018 12:49
Pytorch hello world 
	import torch


	batch_size = 32
	input_shape = 5
	output_shape = 10
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Orbifold / Gluon hello world.md
Created September 1, 2018 05:49
Gluon hello world 
	from mxnet import gluon

	import mxnet as mx
	import numpy as np
	x_input = mx.nd.empty((1, 5), mx.cpu())
	x_input[:] = np.array([[1,2,3,4,5]], np.float32)

	y_input = mx.nd.empty((1, 5), mx.cpu())

y_input[:] = np.array([[10, 15, 20, 22.5, 25]], np.float32)

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Orbifold / TFjsCosine.html
Created August 24, 2018 18:33
Learning the cosine function with TensorFlow.js
<!DOCTYPE html>
<html lang="en" xmlns="http://www.w3.org/1999/xhtml">
<head>
<meta charset="utf-8" />
<title></title>
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.2.1/jquery.min.js"></script>
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.4/lodash.min.js"></script>
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/Faker/3.1.0/faker.min.js"></script>
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/4.0.0-beta/js/bootstrap.min.js"></script>
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Orbifold / PyroBasic.ipynb
Created August 23, 2018 17:36
Simplistic example in Pyro.ai.
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