pavgup

import BaseHTTPServer
import urlparse

class SimpleHandler(BaseHTTPServer.BaseHTTPRequestHandler):
    def do_GET(self):
        self.send_response(200)
        if "?" in self.path:
            for key,value in dict(urlparse.parse_qsl(self.path.split("?")[1], True)).items():
                print key + " = " + value

skratchdot

A list of some other badges: http://shields.io/

Version Numbers

Alt Text	Image Src	Link
NPM version	https://badge.fury.io/{{programming_language:js}}/{{project_name}}.svg	http://badge.fury.io/{{programming_language:js}}/{{project_name}}
Dependency Status	https://david-dm.org/{{username}}/{{project_name}}.svg	https://david-dm.org/{{username}}/{{project_name}}
devDependency Status	https://david-dm.org/{{username}}/{{project_name}}/dev-status.svg	https://david-dm.org/{{username}}/{{project_name}}#info=devDependencies
GEM Dependency Status	https://gemnasium.com/{{username}}/{{repo}}.png	https://gemnasium.com/{{username}}/{{repo}})

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

dswah

from keras import backend as K
from keras import activations, initializations, regularizers, constraints
from keras.engine import Layer, InputSpec
from keras.utils.np_utils import conv_output_length
from keras.layers import Convolution1D, Convolution2D
import tensorflow as tf

class Convolution1D_tied(Layer):
    '''Convolution operator for filtering neighborhoods of one-dimensional inputs.
    When using this layer as the first layer in a model,

alexlee-gk

This was tested on a ThinkPad P70 laptop with an Intel integrated graphics and an NVIDIA GPU:

lspci | egrep 'VGA|3D'
00:02.0 VGA compatible controller: Intel Corporation Device 191b (rev 06)
01:00.0 VGA compatible controller: NVIDIA Corporation GM204GLM [Quadro M3000M] (rev a1)

A reason to use the integrated graphics for display is if installing the NVIDIA drivers causes the display to stop working properly. In my case, Ubuntu would get stuck in a login loop after installing the NVIDIA drivers. This happened regardless if I installed the drivers from the "Additional Drivers" tab in "System Settings" or the ppa:graphics-drivers/ppa in the command-line.

dusty-nv

#!/bin/bash
#
# EDIT:  this script is outdated, please see https://forums.developer.nvidia.com/t/pytorch-for-jetson-nano-version-1-6-0-now-available
#
sudo apt-get install python-pip

# upgrade pip
pip install -U pip
pip --version
# pip 9.0.1 from /home/ubuntu/.local/lib/python2.7/site-packages (python 2.7)

justincbagley

How to convert markdown to PDF:

This post reviews several methods for converting a Markdown (.md) formatted file to PDF, from UNIX or Linux machines.

Using Pandoc:

$ pandoc How_I_got_svg-resizer_working_on_Mac_OSX.md -s -o test1.pdf

josemarcosrf

NLU open datatsets

Unstructured

• Reuters (RCV1, RCV2, TRC2)
• Reddit comments
• Wikipedia
• Twitter Stream
• OpenWebText

seb26

=ROUND( A2/(1024)^(FLOOR(log(A2)/log(1024))), 2) & " " & SWITCH( FLOOR( log(A2) / log(1024) ) ,0,"Bytes",1,"KiB",2,"MiB",3,"GiB",4,"TiB")

felipou

# https://stackoverflow.com/questions/39928401/recover-db-password-stored-in-my-dbeaver-connection

# requires pycryptodome lib (pip install pycryptodome)

import sys
import base64
import os
import json
from Crypto.Cipher import AES