delta2323

import chainer
from chainer import Variable
import numpy as np


def f(x):
    y = x * x * x / 3
    gx, = chainer.grad([y], [x], enable_double_backprop=True)
    z = gx - 2 * x + 1  # z = (x - 1) ** 2                                                                                                                                                                         
    return z

0x4C4A

#!/usr/bin/python3

import requests
import re
import time
import sys

projectorAddress = 'http://192.168.1.87'
username = 'EPSONWEB'
password = 'admin'

kevinzakka

"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.

[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""

import torch
import numpy as np

noopkat

⚠️ this is now stupidly out of date

Computers

• 13" Macbook Pro 3.3 GHz i7 (late 2016)
• Microsoft Surface Book (2016)

Peripherals

• Dell up3216q 32" monitor

MMesch

#!/usr/bin/env python
"""
Robust B-Spline regression with scikit-learn
"""

import matplotlib.pyplot as plt
import numpy as np
import scipy.interpolate as si
from sklearn.base import TransformerMixin
from sklearn.pipeline import make_pipeline

f0k

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

"""
Outputs some information on CUDA-enabled devices on your computer,
including current memory usage.

It's a port of https://gist.github.com/f0k/0d6431e3faa60bffc788f8b4daa029b1
from C to Python with ctypes, so it can run without compiling anything. Note
that this is a direct translation with no attempt to make the code Pythonic.

ShigekiKarita

sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get --purge remove "nvidia*"
sudo apt-get --purge remove "cuda*"

wget http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb
sudo dpkg -i cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb
sudo apt-get update
sudo apt-get upgrade
sudo apt-get install cuda

erikzenker

# CMAKE FILE to separatly compile cuda and c++ files
# with the c++11 standard
# 
#
# Folder structure:
#
# |
# +--main.cpp (with C++11 content)
# +--include/
# |  |

rjames86

Last updated: 2017-03-18

Searching for Files

Find images in a directory that don't have a DateTimeOriginal

exiftool -filename -filemodifydate -createdate -r -if '(not $datetimeoriginal) and $filetype eq "JPEG"' .

###Output photos that don't have datetimeoriginal to a CSV### Note this can take a long time if you have a lot of jpgs

courtneyfaulkner

#include <stdio.h>                                                                                                                                               
#include <stdlib.h>
#ifdef __APPLE__
#include <OpenCL/opencl.h>
#else
#include <CL/cl.h>
#endif

int main() {