cewee

FROM nvidia/cuda:8.0-cudnn6-devel-ubuntu16.04

ENV PACKAGES_ROOT=/opt

RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    cmake \
    git \
    wget \
    libatlas-base-dev \

andrewjong

import torch
from torchvision import datasets

class ImageFolderWithPaths(datasets.ImageFolder):
    """Custom dataset that includes image file paths. Extends
    torchvision.datasets.ImageFolder
    """

    # override the __getitem__ method. this is the method that dataloader calls
    def __getitem__(self, index):

bshishov

import numpy as np

EPSILON = 1e-10


def _error(actual: np.ndarray, predicted: np.ndarray):
    """ Simple error """
    return actual - predicted

acmiyaguchi

Instructions

• install cuda-9.0 (https://developer.nvidia.com/cuda-toolkit-archive)
• install cudnn-7 (https://developer.nvidia.com/cudnn)
• install dependencies for caffe
  • see the caffe installation guide [1] and wiki page [2]
• install boost-1.65 or higher (http://www.boost.org/users/history/version_1_65_1.html) [3]
• update caffe-fast-rcnn
  • Easiest way is to use a rebased branch on BVLC/master. See the notes below if you would rather merge the changes yourself.

  $ cd $FRCN_ROOT/caffe-fast-rcnn
  

wookietreiber

R - Interactive Sessions and Command Line Interface

This is a template for R projects that should work both on the command line as well as in an interactive session.

Template Files

The template is made up of three files:

1. foo.r

Arkoniak

using MXNet
import MXNet.mx: _update_single_output, reset!, get

using Distributions

#####################################
# Custom evaluation metric
# It just summarize predictions, because in the case of custom
# loss layer, ANN output equals to loss function itself

0xjac

The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

1. Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.)

git clone --bare [email protected]:usi-systems/easytrace.git

dalejbarr

## youtube video: https://youtu.be/AJDo9gpkEcg
library("readr")
library("ggplot2")

## read.csv() <- from base R.  DON'T USE!
hw5 <- read_csv("homework_5.csv") # from readr

hw5$A <- factor(hw5$A)
hw5$B <- factor(hw5$B)
hw5$C <- factor(hw5$C)

bgusach

def multireplace(string, replacements, ignore_case=False):
    """
    Given a string and a replacement map, it returns the replaced string.

    :param str string: string to execute replacements on
    :param dict replacements: replacement dictionary {value to find: value to replace}
    :param bool ignore_case: whether the match should be case insensitive
    :rtype: str

    """

ottokart

# Tiny example of 3-layer nerual network with dropout in 2nd hidden layer
# Output layer is linear with L2 cost (regression model)
# Hidden layer activation is tanh

import numpy as np

n_epochs = 100
n_samples = 100
n_in = 10
n_hidden = 5