WietseWind

 const bip39 = require("bip39");
const bip32 = require("ripple-bip32");
const ripple = require('ripple-keypairs')

var mnemonic = 'novel matter final only nice cheese address cradle civil crash great flame struggle consider crowd surface purpose saddle mango endless mixed trial tape wrap'
// Or generate:
// mnemonic = bip39.generateMnemonic()

console.log('mnemonic: ' + mnemonic)
const seed = bip39.mnemonicToSeed(mnemonic) // add second argument for 25th word encrypted

andreasonny83

# See http://help.github.com/ignore-files/ for more about ignoring files.

# compiled output
/dist
/tmp
/out-tsc

# Runtime data
pids
*.pid

bsodmike

Following mining and findings performed on EVGA GeForce GTX 1070 SC GAMING Black Edition Graphics Card cards.

First run nvidia-xconfig --enable-all-gpus then set about editing the xorg.conf file to correctly set the Coolbits option.

# /etc/X11/xorg.conf
Section "Device"
    Identifier     "Device0"
    Driver         "nvidia"
    VendorName     "NVIDIA Corporation"

stared

Zulko

"""
An alternative text clip for Moviepy, relying on Gizeh instead of ImageMagick

Advantages:
- Super fast (20x faster)
- no need to install imagemagick
- full-vector graphic, no aliasing problems
- Easier font names

Disadvantages:

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

gabrieleangeletti

import tensorflow as tf
import numpy as np
import os

import zconfig
import utils


class RBM(object):

Jaza

*

mistakia

/* require, encodeURI  */

var casper = require('casper').create();

var email = casper.cli.get('email');
var password = casper.cli.get('password');
var target = casper.cli.get(0);

function isUrl(text) {
    var pattern = new RegExp('^(https?:\\/\\/)?' + // protocol

gwtaylor

""" Python implementation of the OASIS algorithm.
Graham Taylor

Based on Matlab implementation of:
Chechik, Gal, et al.
"Large scale online learning of image similarity through ranking."
The Journal of Machine Learning Research 11 (2010): 1109-1135.
"""

from __future__ import division