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@fj
fj / gist:1065069
Last active September 26, 2015 07:58
First Wednesdays Charlottesville info
@jasdev
jasdev / gist:3204954
Created July 30, 2012 05:16
Who uses Linked Lists anyways?
//Funny code segment I hacked together
private void TransportationPanel_Tap(object sender, System.Windows.Input.GestureEventArgs e)
{
settings["transportationMode"] = transportationOptions[(transportationOptions.IndexOf((string)settings["transportationMode"]) + 1) % 3];
switch ((string)settings["transportationMode"])
{
case "bike":
TransportationOption.Source = new BitmapImage(new Uri("Images/Icons/bike_icon_white.png", UriKind.Relative));
break;
case "car":
@jasdev
jasdev / gist:3205164
Created July 30, 2012 05:44
2 line wonder
private void RadiusPanel_Tap(object sender, System.Windows.Input.GestureEventArgs e)
{
settings["radius"] = ((int)settings["radius"] % 10) + 1;
radiusText.Text = (int)settings["radius"] + ((int)settings["radius"] != 1 ? " miles" : " mile");
}
@jasdev
jasdev / rtb.html
Created April 16, 2013 01:39
For future trolling
<html>
<title>rtb</title>
<head>
<meta http-equiv="refresh" content="5; url=http://twitter.com/r00tth3b0x">
</head>
<body bgcolor="black">
<pre><center><font color="white">
d8888b. .d88b. .d88b. d888888b d888888b db db d88888b d8888b. .d88b. db db
88 `8D .8P Y8. .8P Y8. `~~88~~' `~~88~~' 88 88 88' 88 `8D .8P Y8. `8b d8'
@b38tn1k
b38tn1k / tensorflowTutorialOne.py
Last active December 18, 2015 01:06
Google tensorflow tutorial 1 in a file with comments and stuff
import input_data
import tensorflow as tf
# http://www.tensorflow.org/tutorials/mnist/beginners/index.html
print '\033[93m' + 'Tutorial1 from:\nhttp://www.tensorflow.org/tutorials/mnist/beginners/index.html' + '\033[0m'
print 'MNIST INPUT DATA'
mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
'PLACE HOLDERS'
# Make a placeholder / value to input on run
@jfager
jfager / simple_server.rs
Last active December 18, 2015 09:59
Writing a websocket server in Rust, ran into an issue where the server would hang after a few connection attempts. Here's a minimal client/server; in the server, if you uncomment the separate spawned task on the default scheduler, the hang always happens. Putting that other task on its own thread makes everything work fine.
extern mod extra;
use std::{int,io,result};
use extra::{net,net_tcp,uv};
fn main() {
let (accept_port, accept_chan) = stream();
let (finish_port, finish_chan) = stream();
let addr = extra::net_ip::v4::parse_addr("127.0.0.1");
@veggiemonk
veggiemonk / install_font_scp.sh
Created July 2, 2015 13:07
install source code pro font in Ubuntu 14.04.2
#!/bin/sh
echo "installing fonts at $PWD to ~/.fonts/"
mkdir -p ~/.fonts/adobe-fonts/source-code-pro
git clone https://github.com/adobe-fonts/source-code-pro.git ~/.fonts/adobe-fonts/source-code-pro
# find ~/.fonts/ -iname '*.ttf' -exec echo \{\} \;
fc-cache -f -v ~/.fonts/adobe-fonts/source-code-pro
echo "finished installing"
@owainlewis
owainlewis / Example.hs
Last active June 1, 2020 20:30
Haskell HTTP GET request example
module Example () where
import Network.HTTP
-- Non HTTPS
-- 1. Perform a basic HTTP get request and return the body
get :: String -> IO String
get url = simpleHTTP (getRequest url) >>= getResponseBody
@jgoosey
jgoosey / quine.hs
Last active August 12, 2020 17:22
Quine in Haskell, two implementations
--Haskell Quine
--Implementation 1
import Control.Monad
import Control.Monad.Instances
main = (putStr . ap (++) show)
"--Haskell Quine\n--Implementation 1\nimport Control.Monad\nimport Control.Monad.Instances\nmain = (putStr . ap (++) show) "
--Implementation 2
--main = putStrLn (s ++ show s) where s =
-- "--Haskell Quine\n--Implementation 2\nmain = putStrLn (s ++ show s) where s ="
@vinhkhuc
vinhkhuc / simple_mlp_tensorflow.py
Last active December 22, 2021 11:52
Simple Feedforward Neural Network using TensorFlow
# Implementation of a simple MLP network with one hidden layer. Tested on the iris data set.
# Requires: numpy, sklearn>=0.18.1, tensorflow>=1.0
# NOTE: In order to make the code simple, we rewrite x * W_1 + b_1 = x' * W_1'
# where x' = [x | 1] and W_1' is the matrix W_1 appended with a new row with elements b_1's.
# Similarly, for h * W_2 + b_2
import tensorflow as tf
import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split