Hello1024

#!/bin/bash

# Run this on This AMI on AWS:
# https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-b36981d8

# You should get yourself a fully working GPU enabled tensorflow installation.

cd ~

# grab cuda 7.0

bsergean

Getting the code

git clone https://gist.github.com/08be90a2f21205062ccc.git

Executing the code

$ npm install # maybe npm start will take care of it but just in case
$ npm start && open out.png

> [email protected] start /Users/bsergean/src/offscreen_sample

bsergean

Getting the code

git clone https://gist.github.com/6780d7cc0cabb1b4d6c8.git

Executing the code

$ npm install # maybe npm start will take care of it but just in case
$ npm start && open out.png

> [email protected] start /Users/bsergean/src/offscreen_sample

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

chrismdp

# You don't need Fog in Ruby or some other library to upload to S3 -- shell works perfectly fine
# This is how I upload my new Sol Trader builds (http://soltrader.net)
# Based on a modified script from here: http://tmont.com/blargh/2014/1/uploading-to-s3-in-bash

S3KEY="my aws key"
S3SECRET="my aws secret" # pass these in

function putS3
{
  path=$1

jonathantneal

Font Face

A mixin for writing @font-face rules in SASS.

Usage

Create a font face rule. Embedded OpenType, WOFF2, WOFF, TrueType, and SVG files are automatically sourced.

@include font-face(Samplino, fonts/Samplino);

jonnor

var noflo = require('noflo');

var rootdir = './';
var loader = new noflo.ComponentLoader(rootdir);
loader.listComponents(function() {
        console.log(loader.components);

        Object.keys(loader.components).forEach(function(name) {
                loader.load(name, function(component) {
                        console.log(name);

lelandbatey

Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results

adamwiggins

Make it real

Ideas are cheap. Make a prototype, sketch a CLI session, draw a wireframe. Discuss around concrete examples, not hand-waving abstractions. Don't say you did something, provide a URL that proves it.

Ship it

Nothing is real until it's being used by a real user. This doesn't mean you make a prototype in the morning and blog about it in the evening. It means you find one person you believe your product will help and try to get them to use it.

Do it with style

Uiuran

import numpy as np
import scipy
from scipy.integrate import *
import matplotlib.pyplot as plot
sin = np.sin

def kuramotoGrid(x,t0, K, w):
    l = [len(w[1,:]),len(w[:,1])];
    x = x.reshape((l[1],l[0]));
# l[0] is horizontal, columns, l[1] is vertical, rows, dimension