timelyportfolio

lattice

examples inspired by this book

ggplot2

examples inspired by this book

fadere

import csv
import requests
import bs4
import argparse

# parser = argparse.ArgumentParser(description='Process a list of search terms.')
# parser.add_argument('terms', metavar='N', type=str, nargs='+',
#                    help='comma separated list of terms to search for')

# args = parser.parse_args()

tianchaijz

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import os
import re
import time
import json
import logging
import requests

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

wangruohui

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

radames

import cv2

cap = cv2.VideoCapture(0)
cap.set(3, 640)  # WIDTH
cap.set(4, 480)  # HEIGHT

face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_eye.xml")

while(True):

morningstar.R

require(RCurl)
require(jsonlite)

myticker<-"FB"
url.histprice<-function(x){ return(paste0("http://globalquote.morningstar.com/globalcomponent/RealtimeHistoricalStockData.ashx?ticker=",x,"&showVol=true&dtype=his&f=d&curry=USD&range=1900-1-1|2014-10-10&isD=true&isS=true&hasF=true&ProdCode=DIRECT"))}
url.keyratios<-function(x){return(paste0("http://financials.morningstar.com/ajax/exportKR2CSV.html?t=",x))}

#Retrieve historical prices
json.histprice<-getURL(url.histprice(myticker))
json.histprice<-sub("NaN","\"NA\"",json.histprice)

ziadoz

#!/usr/bin/env bash
# https://developers.supportbee.com/blog/setting-up-cucumber-to-run-with-Chrome-on-Linux/
# https://gist.github.com/curtismcmullan/7be1a8c1c841a9d8db2c
# https://stackoverflow.com/questions/10792403/how-do-i-get-chrome-working-with-selenium-using-php-webdriver
# https://stackoverflow.com/questions/26133486/how-to-specify-binary-path-for-remote-chromedriver-in-codeception
# https://stackoverflow.com/questions/40262682/how-to-run-selenium-3-x-with-chrome-driver-through-terminal
# https://askubuntu.com/questions/760085/how-do-you-install-google-chrome-on-ubuntu-16-04

# Versions
CHROME_DRIVER_VERSION=`curl -sS https://chromedriver.storage.googleapis.com/LATEST_RELEASE`

jmxpearson

mjdietzx

#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda