jeetsukumaran

// Sample custom iterator.
// By perfectly.insane (http://www.dreamincode.net/forums/index.php?showuser=76558)
// From: http://www.dreamincode.net/forums/index.php?showtopic=58468

#include <iostream>
#include <vector>
#include <algorithm>
#include <iterator>
#include <cassert>

AliMD

All github Emoji (Smiles)

ali.md/emoji

| 😄 | 😆 | 😊 | 😃 | ☺️ | 😏 | 😍 | 😘 | :kissing_face: | 😳 | 😌 | 😆 | 😁 | 😉 | :wink2: | 👅 | 😒 | 😅 | 😓

😩 | 😔 | 😞 | 😖 | 😨 | 😰 | 😣 | 😢 | 😭 | 😂 | 😲 | 😱 | | 😫 | 😠 | 😡 | 😤 | 😪 | 😋 | 😷

😎 | 😵 | 👿 | 😈 | 😐 | 😶 | 😇 | 👽 | 💛 | 💙 | 💜 | ❤️ | 💚 | 💔 | 💓 | 💗 | 💕 | 💞 | 💘 | ✨

rygorous

#include <immintrin.h>
#include <intrin.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>

union Mat44 {
    float m[4][4];
    __m128 row[4];
};

goakley

#include <stdio.h>

typedef struct ll {
  int value;
  struct ll *next;
} ll;


void print_list(ll *list_head)
{

andrewgiessel

import numpy as np

def makeGaussian(size, fwhm = 3, center=None):
    """ Make a square gaussian kernel.

    size is the length of a side of the square
    fwhm is full-width-half-maximum, which
    can be thought of as an effective radius.
    """

JBed

from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.layers.normalization import BatchNormalization

#AlexNet with batch normalization in Keras 
#input image is 224x224

model = Sequential()
model.add(Convolution2D(64, 3, 11, 11, border_mode='full'))

bastman

Docker - How to cleanup (unused) resources

Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...

delete volumes

// see: https://github.com/chadoe/docker-cleanup-volumes

$ docker volume rm $(docker volume ls -qf dangling=true)

$ docker volume ls -qf dangling=true | xargs -r docker volume rm

FlorianMuellerklein

import lasagne
from lasagne.nonlinearities import rectify, softmax
from lasagne.layers import InputLayer, DenseLayer, DropoutLayer, batch_norm, BatchNormLayer
from lasagne.layers import ElemwiseSumLayer, NonlinearityLayer, GlobalPoolLayer
from lasagne.layers.dnn import Conv2DDNNLayer as ConvLayer
from lasagne.init import HeNormal

def ResNet_FullPre_Wide(input_var=None, n=3, k=2):
    '''
    Adapted from https://github.com/Lasagne/Recipes/tree/master/papers/deep_residual_learning.

tylermakin

Multipart MIME Email Guide

This is a guide on how to send a properly formatted multipart email. Multipart email strings are MIME encoded, raw text email templates. This method of structuring an email allows for multiple versions of the same email to support different email clients.

// Example Multipart Email:
From: [email protected]
To: [email protected]
Subject: Multipart Email Example
Content-Type: multipart/alternative; boundary="boundary-string"

mjdietzx

from keras import layers
from keras import models
import tensorflow as tf


#
# generator input params
#

rand_dim = (1, 1, 2048)  # dimension of the generator's input tensor (gaussian noise)