tehZevo

var tf = require("@tensorflow/tfjs");

//code modified from:
//https://medium.com/tensorflow/a-gentle-introduction-to-tensorflow-js-dba2e5257702

//define our inputs (combinations of 2 bits, represented as 0s and 1s)
//https://js.tensorflow.org/api/0.12.0/#tensor
var xs = tf.tensor([[0, 0], [0, 1], [1, 0], [1, 1]]);

//define our outputs (xor operation, a simple non-linear problem)

fab1an

DEBUG = false
ROUNDS = 100000
DUMP_FILE = "stats_enchantment.marshal"
#                          #
#                          #
#  ##### DATA              #
#                          #
#                          #

# Combos:

darkwing

/*
Script: Color.js
	Class for creating and manipulating colors in JavaScript. Includes basic color manipulations and HSB <-> RGB <-> HEX Conversions.

License:
	MIT-style license.
*/

function Color(params){
	var ptype = $type(params);

dettmering

def readcsv(filename):	
    ifile = open(filename, "rU")
    reader = csv.reader(ifile, delimiter=";")

    rownum = 0	
    a = []

    for row in reader:
        a.append (row)
        rownum += 1

brunomonteiro3

function randomIntFromInterval(min,max){
    return Math.floor(Math.random()*(max-min+1)+min);
}

vogonistic

// REPL example bot for mineflayer
//
// Connects to server but doesn't have any built in logic. The terminal where
// it was started is now a REPL (Read-Eval-Print-Loop). Anything typed will be
// interpreted as javascript printed using util.inspect. Don't forget to try
// tab completion. These variables are exposed as local:
//
// var mineflayer = require('mineflayer');
// var bot = mineflayer.createBot({ username: 'REPL' });
//

AugustMiller

function mapNumber (number, inMin, inMax, outMin, outMax) {
    return (number - inMin) * (outMax - outMin) / (inMax - inMin) + outMin;
}

n1ywb

#!/usr/bin/env python
#
# Copyright 2012 by Jeff Laughlin Consulting LLC
# 
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

dustinvtran

# TensorFlow r0.10
# 
# Building Graph
#
add_to_collection,tf.add_to_collection
as_dtype,tf.as_dtype
bytes,tf.bytes
container,tf.container
control_dependencies,tf.control_dependencies
convert_to_tensor,tf.convert_to_tensor

jesstelford

Put links inside codeblocks on GitHub:

<pre>
import { assign, map } from '<a href="https://www.npmjs.com/package/lodash" title="Lodash on npm">lodash</a>';

<a href="https://lodash.com/docs#assign" title="assign documentation">assign</a>({ 'a': 1 }, { 'b': 2 }, { 'c': 3 });
// → { 'a': 1, 'b': 2, 'c': 3 } 
<a href="https://lodash.com/docs#map" title="map documentation">map</a>([1, 2, 3], function(n) { return n * 3; });
// → [3, 6, 9]