mikelane

import click
import difflib
import numpy as np
import random
import sys
import time

from os import name, system
from scipy.ndimage import convolve

TakuTsuzuki

import numpy as np

def entropy(X):
    #caluculate Entropy of 1D-list
    X = np.array(X,dtype='f')
    p = X/np.sum(X)
    p = np.array([x for x in p if x>0])
    
    H = np.sum(-p*np.log2(p))
    

denis-bz

N-dimensional test functions for optimization, in Python.

These are the n-dim Matlab functions by A. Hedar (2005), translated to Python-numpy.
http://www-optima.amp.i.kyoto-u.ac.jp/member/student/hedar/Hedar_files/TestGO.htm
ackley dp griew levy mich perm powell power rast rosen schw sphere sum2 trid zakh .m + ellipse nesterov powellsincos

http://imgur.com/Iu9H0jk is a plot of 3 no-derivative algorithms, NLOpt LN_BOBYQA LN_PRAXIS LN_SBPLX,

TakuTsuzuki

import numpy
import argparse
import cPickle as pickle

import utils

class Autoencoder3(object):
    def __init__(self, n_visible = 784, n_hidden1 = 784,
        n_hidden2 = 784, n_hidden3 = 784,
        n_hidden4 = 784, n_hidden5 = 784,

coela

from numpy.random import *
import pickle
import numpy

pixnum = 784
pixnum2 = 100

alpha = 0.1
numIterations = 500

luispedro

# UPDATE IN 2020
# You almost always will want to use the version at
# https://github.com/luispedro/imread, which is
# up-to-date and works with Python 3





# Copyright: Luis Pedro Coelho <[email protected]>, 2012

poutyface

githubへ登録
===========
git remote add origin [email protected]:<username>/<application_name>.git
git push origin master


初期設定
=======
git config --global user.name "Foo Bar"
git config --global user.email "[email protected]"