snakers4

# add 7z tar and zip archivers
FROM nvidia/cuda:9.0-cudnn7-devel

# https://docs.docker.com/engine/examples/running_ssh_service/
RUN apt-get update && apt-get install -y openssh-server
RUN mkdir /var/run/sshd
RUN echo 'root:Ubuntu@41' | chpasswd
RUN sed -i 's/PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config
RUN sed -i 's/#PasswordAuthentication yes/PasswordAuthentication no/' /etc/ssh/sshd_config
RUN mkdir ~/.ssh/

snakers4

import tqdm
import pandas as pd
import numpy as np
from multiprocessing import Pool
import os

# drop all the unknown points and all closed points
# for each SK_ID_CURR calculate the counts of time in each status
# normalize by the max len (we know of) in any of the meaningful statuses 

xoseperez

Raspberry Pi 3 IoT Home Server

Presentation

http://tinkerman.cat/rpi3_iot_server.pdf (Catalan)

Get the latest image and flash the SD card

• download the latest image

snakers4

# BASIC SYSTEM SETUP

# First donwload Ubuntu iso file from https://www.ubuntu.com/download/desktop
# Use 16.04 LTS (17 is also ok, but it's better to use LTS versions, also 18 will be very mature in terms of systemd)

# Dowload Linux live USB creator and install the iso to your USB stick https://www.linuxliveusb.com

# Boot your system, go to BIOS on boot (usually Del) or boot menu (usually F12) and choose your USB stick as boot medium
# Install Linux (these steps can be omitted if clean Ubuntu installation is provided as service by admins / cloud provider / etc)
# Minor trick unplug ALL of your hard disks (unless you are an avanced user) except for the disk for your system

wassname

"""Another way, note this one will load the whole array into memory ."""
from keras.preprocessing.image import ImageDataGenerator
import h5py
from keras.utils.io_utils import HDF5Matrix
seed=0
batch_size=32

# we create two instances with the same arguments
data_gen_args = dict( 
    rotation_range=90.,

fm4dd

GCC compiler optimization for ARM-based systems

2017-03-03 fm4dd

The gcc compiler can optimize code by taking advantage of CPU specific features. Especially for ARM CPU's, this can have impact on application performance. ARM CPU's, even under the same architecture, could be implemented with different versions of floating point units (FPU). Utilizing full FPU potential improves performance of heavier operating systems such as full Linux distributions.

-mcpu, -march: Defining the CPU type and architecture

These flags can both be used to set the CPU type. Setting one or the other is sufficient.

smrgit

  CREATE TEMPORARY FUNCTION

    -- In this function, we're going to be working on arrays of values.
    -- we're also going to define a set of functions 'inside' the kMeans.

    -- *heavily borrowing from https://github.com/NathanEpstein/clusters* --

    kMeans(x ARRAY<FLOAT64>,  -- ESR1 gene expression
           y ARRAY<FLOAT64>,  -- EGFR gene expression
           iterations FLOAT64,  -- the number of iterations

bigsnarfdude

import cPickle
import numpy as np

from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten, Reshape
from keras.layers.embeddings import Embedding
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.optimizers import Adadelta
from keras.constraints import unitnorm
from keras.regularizers import l2

h0tw1r3

$ git clone -b 1.22 https://github.com/crosstool-ng/crosstool-ng.git
$ cd crosstool-ng
$ ./bootstrap
$ ./configure --prefix=/usr/local
$ make
$ sudo make install
$ cd ..
$ mkdir ctng
$ cd rpi1
$ ct-ng menuconfig

devStepsize

'''
This is an example of the server-side logic to handle slash commands in
Python with Flask.
Detailed documentation of Slack slash commands:
https://api.slack.com/slash-commands
Slash commands style guide:
https://medium.com/slack-developer-blog/slash-commands-style-guide-4e91272aa43a#.6zmti394c

'''