There is a really puzzling behaviour in Nautilus regarding my Shift key. Consider the following scenario:

1. Choose any file to rename
2. During renaming i can type just fine unless i need a capital letter. If i type a capital letter (using shift) then focus shifts to some file at the same folder.

Clarification: Current shortcut to change layout LShift+RShift.

Solution: Change shortcut to, for example, LCtrl + LShift (System Settings -> Text Entry)and the problem disappears.

Has just migrated all my mercurial repositories to git. Its a little bit sad, but it will increase uniformity. More over there is gitlab which provides free private repositories as well as bitbucket.

P.s. here is a simple script aimed to convert hg repo to git,
maybe it will be helpful

Sometimes you may want to delete some package (*.pkg) from your Mac OS installaction. Its assumed, you dont have uninstaller.

There is no official way to uninstall package, but you can do it manually using ‘pkgutil’ tool. There is some articles (you can google it) which described the process.

To automate the process i have wrote this script uninstall-pkg.sh

#!/bin/sh

# this script allow you to uninstall given pkg file

# ATTENTIONS!
# all delete operation are interactive, but in any way
# USE THIS SCRIPT FOR YOUR OWN RISK

SCRIPT=`basename $0`

WD=`pwd`

PACKAGE_NAME=$1

if [ -z "$PACKAGE_NAME" ]; then
    echo "[ERROR] - package is not defined"
    echo "Usage: $SCRIPT <package-name>"
    exit 0
fi

installed_packages=`pkgutil --pkgs | grep $PACKAGE_NAME`
if [ -z "$installed_packages" ]; then
    echo "[ERROR] - package '$PACKAGE_NAME' not found"
    exit 0
fi

for p in `pkgutil --pkgs | grep $PACKAGE_NAME`; do
    echo "Delete package: '$p' [y/n/other key to break] ?:"
    read -n 1 selection
    echo ""
    case "$selection" in
        y)
            echo "[INFO] - Process package: '$p'"
            volume=`pkgutil --pkg-info $p | grep -E 'volume:' | cut -d ' ' -f 2`
            location=`pkgutil --pkg-info $p | grep -E 'location:' | cut -d ' ' -f 2`
            package_path="$volume$location"
            echo '[INFO] - Go to package install location: $package_path'
            cd $package_path
            echo '[INFO] - Iterate package files:'
            for f in `pkgutil --only-files --files $p`; do
                echo 'Delete file: '$f' ? [y/n/other key to skip package]:'
                read -n 1 file_cmd
                echo ""
                case "$file_cmd" in
                    y)
                        sudo rm -i $f
                        echo "[INFO] - file '$f' deleted."
                    ;;
                    n)
                        echo "[INFO] - file '$f' skipped"
                    ;;
                    *)
                        echo "[INFO] - skip all files in package '$p'"
                        break
                    ;;
                esac
            done
            ;;
        n)
            echo '[INFO] - ok, i will skip package '%p''
            ;;
        *)
            echo '[INFO] - quit'
            exit 0
            ;;
    esac
done

cd $WD

source

List of papers on distributed systems

Videos

1. Deep Learning and Neural Networks with Kevin Duh: course page
2. NY Course by Yann LeCun: 2014 version, 2015 version
3. ICML 2013 Deep Learning Tutorial by Yann Lecun (slides)
4. Geoffery Hinton’s cousera course on Neural Networks for Machine Learning
5. Large Scale Visual Recognition Challenge 2014, arxiv paper
6. GTC Deep Learning 2015
7. Hugo Larochelle Neural Networks [class[(https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH), slides
8. My youtube playlist
9. Yaser Abu-Mostafa’s Learning from Data course (youtube playlist)
10. Stanford CS224d: Deep Learning for Natural Language Processing: syllabus, youtube playlist, reddit
11. Neural Networks for Machine Perception: vimeo
12. Deep Learning for NLP (without magic): page, better page, video1, video2, youtube playlist
13. Introduction to Deep Learning with Python: video, slides, code
14. Machine Learning course with emphasis on Deep Learning by Nando de Freitas (youtube playlist), course page, torch practicals
15. NIPS 2013 Deep Learning for Computer Vision Tutorial – Rob Fergus: video, slides

Links

1. Deeplearning.net
2. NVidia’s Deep Learning portal

Books

1. Learning Deep Architectures for AI, Bengio (pdf)
2. Neural Nets and Deep Learning (html, github)
3. Deep Learning, Bengio, Goodfellow, Courville (html)
4. Neural Nets and Learning Machines, Haykin, 2008 (amazon)

Papers

1. ImageNet Classification with Deep Convolutional Neural Networks, Alex Krizhevsky, Ilya Sutskever, Geoffrey E Hinton, NIPS 2012 (paper)
2. Why does unsupervised pre-training help deep learning? (paper)
3. Hinton06 – Autoencoders (paper)
4. Deep Learning using Linear Support Vector machines (paper)

Source contains additional materials.

CRDT reading list

Mike Vanier wrote great article about Y-combinator.

Another Rich Hickey’s great talk about functional composition in general and transducers in particular.

Course Project Reports

Final Projects 2012
Final Projects 2013
Final Projects 2014