malomarrec

# Notes: 
# You need to have the clusterone package installed (pip install tensorport)
# Export logs and outputs to /logs, your data is in /data. 

import tensorflow as tf
from clusterone import get_data_path, get_logs_path


# Get the environment parameters for distributed TensorFlow
try:

cbaziotis

# This is shorthened version of blog post 
#  http://ksopyla.com/2017/02/tensorflow-gpu-virtualenv-python3/

# update packages
sudo apt-get update
sudo apt-get upgrade

#Add the ppa repo for NVIDIA graphics driver
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update

j314erre

import tensorflow as tf
import numpy as np


class TextCNN(object):
    """
    A CNN for text classification.
    Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer.
    """
    def __init__(

claudijd

# A proof of concept to demonstrate TOTP bruteforcing concepts

# Parameters to control simulation behavior###
request_rate = 4
totp_validity_window = 90 #in seconds
totp_guesses_per_auth_session = request_rate * totp_validity_window # number of totp guesses per auth session
simulated_logins = 100 # number of simulated logins to help determine average rate of TOTP collision
##############################################

# Helper Methods

lbolla

Asynchronous programming with Tornado

Asynchronous programming can be tricky for beginners, therefore I think it's useful to iron some basic concepts to avoid common pitfalls.

For an explanation about generic asynchronous programming, I recommend you one of the [many][2] [resources][3] [online][4].

I will focus on solely on asynchronous programming in [Tornado][1]. From Tornado's homepage:

alex-leonhardt

package main


import (
	"encoding/json"
	"os"
	"reflect"
	"text/template"
)

molivier

# Edit ~/.bash_profile 

export GOPATH=/Users/$USER/go
export PATH=$GOPATH/bin:$PATH

# Reload profile : source ~/.bash_profile

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

paulmach

/*
Serve is a very simple static file server in go
Usage:
	-p="8100": port to serve on
	-d=".":    the directory of static files to host

Navigating to http://localhost:8100 will display the index.html or directory
listing file.
*/
package main

Restuta

Below is the list of modern JS frameworks and almost frameworks – React, Vue, Angular, Ember and others.

All files were downloaded from https://cdnjs.com and named accordingly. Output from ls command is stripped out (irrelevant stuff)

As-is (minified)

$ ls -lhS
566K Jan 4 22:03 angular2.min.js