liangfu

apt update
apt install -y emacs-nox aptitude screen xcscope-el gdb nano || echo 0 && echo "Success"
python3 -m pip install git-remote-codecommit opennmt-tf==1.25.1

cat << EOF > ~/.gdbinit
set print thread-events off
define hook-run
  catch throw
end
define hook-quit

mcarilli

# This isn't supposed to run as a bash script, i named it with ".sh" for syntax highlighting.

# https://developer.nvidia.com/nsight-systems
# https://docs.nvidia.com/nsight-systems/profiling/index.html

# My preferred nsys (command line executable used to create profiles) commands
#
# In your script, write
# torch.cuda.nvtx.range_push("region name")
# ...

backerman

using namespace System.Management.Automation

Register-ArgumentCompleter -CommandName ssh,scp,sftp -Native -ScriptBlock {
    param($wordToComplete, $commandAst, $cursorPosition)
    $knownHosts = Get-Content ${Env:HOMEPATH}\.ssh\known_hosts `
    | ForEach-Object { ([string]$_).Split(' ')[0] } `
    | ForEach-Object { $_.Split(',') } `
    | Sort-Object -Unique

    # For now just assume it's a hostname.

muralisc

# Install tmux 3.0a on Centos

# install deps
sudo yum install -y gcc kernel-devel make ncurses-devel

# DOWNLOAD SOURCES FOR LIBEVENT AND MAKE AND INSTALL
curl -LOk https://github.com/libevent/libevent/releases/download/release-2.1.11-stable/libevent-2.1.11-stable.tar.gz
tar -xf libevent-2.1.11-stable.tar.gz
cd libevent-2.1.11-stable
./configure --prefix=/usr/local

vvanirudh

from sklearn.base import BaseEstimator
from sklearn.exceptions import NotFittedError
import numpy as np


class IRFF(BaseEstimator):
    '''
    Random fourier features using the improved embedding
    https://www.cs.cmu.edu/~schneide/DougalRandomFeatures_UAI2015.pdf
    '''

santisbon

Enter this in the search box along with your search terms:

Get all gists from the user santisbon.
user:santisbon

Find all gists with a .yml extension.
extension:yml

Find all gists with HTML files.
language:html

Mistobaan

Machine Setup August 2016

Linux Ubuntu 2016.

• 1080 GTX
• SDK 8.0
• CuDNN 5.1

ENABLE Core dumps

ulimit -c unlimited

j314erre

import tensorflow as tf
import numpy as np


class TextCNN(object):
    """
    A CNN for text classification.
    Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer.
    """
    def __init__(

robphoenix

This is unmaintained, please visit Ben-PH/spacemacs-cheatsheet

Useful Spacemacs commands

• SPC q q - quit
• SPC w / - split window vertically
• SPC w - - split window horizontally
• SPC 1 - switch to window 1
• SPC 2 - switch to window 2
• SPC w c - delete current window

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)