adityajn105

General Snippets

1. Prime Factors of a number

• Step1 : divide number by 2 and add 2 as factor till possible
• Step2 : Start k from 3 with step of 2 till sqrt(number), divide number by k and add k as factor till possible
• Step3 : Check if number remaining is greater than 1, add that number as another factor.

def getPrimeFactors(n):
    factors = []
    while n%2==0:
        factors.append(2)

maxim5

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

from __future__ import print_function

__author__ = 'maxim'

import numpy as np
import gensim
import string

tterb

Badges

License

Version

EncodeTS

VGG-Face model for Keras

This is the Keras model of VGG-Face.

It has been obtained through the following method:

• vgg-face-keras:directly convert the vgg-face matconvnet model to keras model
• vgg-face-keras-fc:first convert vgg-face caffe model to mxnet model,and then convert it to keras model

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

vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?

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)

PurpleBooth

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

jdiscar

""" 
Original Author  Ernesto P. Adorio, Ph.D 
Original Source: http://my-other-life-as-programmer.blogspot.com/2012/02/python-finding-nearest-matching-color.html
Modifed By: JDiscar

This class maps an RGB value to the nearest color name it can find. Code is modified to include 
ImageMagick names and WebColor names.  

1. Modify the minimization criterion to use least sum of squares of the differences.
2. Provide error checking for input R, G, B values to be within the interval [0, 255].

zollinger

from PIL import Image, ImageDraw
import argparse
import sys

def get_colors(image_file, numcolors=10, resize=150):
    # Resize image to speed up processing
    img = Image.open(image_file)
    img = img.copy()
    img.thumbnail((resize, resize))