tmilos

Modified Preorder Tree Traversal

Hierarchical data metrics that allows fast read operations on tree like structures.

Based on Left and Right fields that are set during tree traversal. When entered into node value is set to it's Left, when exiting node value is set to it's Right.

Sample implementation

v0lkan

user web;

# One worker process per CPU core.
worker_processes 8;

# Also set
# /etc/security/limits.conf
#   web soft nofile 65535
#   web hard nofile 65535
# /etc/default/nginx

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)

paulirish

Option 1: Command-line download extension as zip and extract

extension_id=jifpbeccnghkjeaalbbjmodiffmgedin   # change this ID
curl -L -o "$extension_id.zip" "https://clients2.google.com/service/update2/crx?response=redirect&os=mac&arch=x86-64&nacl_arch=x86-64&prod=chromecrx&prodchannel=stable&prodversion=44.0.2403.130&x=id%3D$extension_id%26uc" 
unzip -d "$extension_id-source" "$extension_id.zip"

Thx to crxviewer for the magic download URL.

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

nimasdj

<?php
// I made this array by joining all the following lists + .php extension which is missing in all of them. 
// please contribute to this list to make it as accurate and complete as possible.
// https://gist.github.com/plasticbrain/3887245
// http://pastie.org/5668002
// http://pastebin.com/iuTy6K6d
// total: 1223 extensions as of 16 November 2015
$mime_types = array(
'3dm' => array('x-world/x-3dmf'), 
'3dmf' => array('x-world/x-3dmf'), 

jpouellet

/* $ gcc cve_2016_0728.c -o cve_2016_0728 -lkeyutils -Wall */
/* $ ./cve_2016_072 PP_KEY */

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/types.h>
#include <keyutils.h>
#include <unistd.h>
#include <time.h>

royshil

#!/usr/bin/env python

import numpy as np
import cv2
import os
import v4l2capture
import select

if __name__ == '__main__':
    #cap = cv2.VideoCapture(0)

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

lopes

#!/usr/bin/env python3
#
# This is a simple script to encrypt a message using AES
# with CBC mode in Python 3.
# Before running it, you must install pycryptodome:
#
# $ python -m pip install PyCryptodome
#
# Author.: José Lopes
# Date...: 2019-06-14