noisychannel

install_venv:
	# Install a virtual environment
	virtualenv tf_cpu
	# Activate the virutal environment
	source tf_cpu/bin/activate
	# Install tensorflow
	export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp27-none-linux_x86_64.whl
	pip install $TF_BINARY_URL

install_no_venv:

noisychannel

#!/usr/bin/env bash

# Number of free GPUs on a machine
export n_gpus=`lspci | grep -i "nvidia" | wc -l`

# Return -1 if there are no GPUs on the machine
if [ $n_gpus -eq 0 ]; then
  echo "-1"
  exit -1
fi

noisychannel

#!/usr/bin/env bash

set -e

ROOT=...
MAX_RECURSION_DEPTH=10

crawl_folder() {
  local page=$1
  local folder_name=$2

noisychannel

#!/usr/bin/env python

# NOTE : This script assumes that the aligments are in the src-tgt format

import optparse
import pprint
import sys
import numpy as np

optparser = optparse.OptionParser()

noisychannel

DATADIR=/export/ws15-mt-data/gkumar
ROOT=/home/gkumar/.local
MAX_THREADS=6

BOOST_DL=http://downloads.sourceforge.net/project/boost/boost/1.55.0/boost_1_55_0.tar.gz?r=http%3A%2F%2Fsourceforge.net%2Fprojects%2Fboost%2Ffiles%2Fboost%2F1.55.0%2F&ts=1389613041&use_mirror=kent
CMPH_DL=http://downloads.sourceforge.net/project/cmph/cmph/cmph-2.0.tar.gz?r=https%3A%2F%2Fsourceforge.net%2Fprojects%2Fcmph%2F&ts=1456331818&use_mirror=iweb
VIMCONFIG_DL=https://github.com/noisychannel/VIMconfig

all: new vim boost moses

noisychannel

[global]
mode = FAST_RUN
floatX = float32
int_division = floatX
exception_verbosity = high
warn_float64 = warn
on_unused_input = warn
allow_gc = False
compiledir_format=compiledir-%(platform)s-%(processor)s-%(python_version)s-%(python_bitwidth)s-%(hostname)s
linker = cvm

noisychannel

# Exact Solarized Dark color theme for the color GNU ls utility.
# Designed for dircolors (GNU coreutils) 5.97
#
# This simple theme was simultaneously designed for these terminal color schemes:
# - Solarized dark  (best)
# - Solarized light
# - default dark
# - default light
# with a slight optimization for Solarized Dark.
#

noisychannel

#!/usr/bin/env python

import sys

classMap = {}

classFile = open(sys.argv[1])
input = open(sys.argv[2])
output = open(sys.argv[3], 'w+')

noisychannel

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Runs the Z-MERT and PRO tuners.
"""
from __future__ import print_function
import argparse
from collections import namedtuple
import logging
import os

noisychannel

#!/usr/bin/env bash

if [ $# -lt 1 ]; then
    echo "Please enter the process ID to monitor:"
    exit 1;
fi

#TODO: Change email
[email protected]