jhjin

# clone it under jupyter extension path
mkdir -p $(jupyter --data-dir)/nbextensions
git clone https://github.com/lambdalisue/jupyter-vim-binding $(jupyter --data-dir)/nbextensions/vim_binding

# enable it permanently
jupyter nbextension enable vim_binding/vim_binding

jhjin

# LaTex Makefile dependency
#   brew update
#   brew cask install mactex

SRC_FULLNAME=$(wildcard *.tex)
SRC_BASENAME=$(basename $(SRC_FULLNAME))

all:
  pdflatex $(SRC_FULLNAME)
  bibtex $(SRC_BASENAME)

jhjin

// A Fast, Compact Approximation of the Exponential Function
// http://www.schraudolph.org/pubs/Schraudolph99.pdf
inline double fast_exp(double y) {
    double d;
    *(reinterpret_cast<int*>(&d) + 0) = 0;
    *(reinterpret_cast<int*>(&d) + 1) = static_cast<int>(1512775 * y + 1072632447);
    return d;
}

jhjin

cmake_minimum_required(VERSION 2.8.3)
project(tensorflow)
include(ExternalProject)
find_package(PythonInterp 2.7)
find_package(PythonLibs 2.7)
get_filename_component(PYTHON_LIBRARIES_DIR ${PYTHON_LIBRARIES} PATH)

# sudo apt-get install bazel python-numpy swig python-dev python-wheel

find_package(CUDA)

jhjin

function rosvim {
  ROSVIM_FNAME=$1
  if [ ! -f $ROSVIM_FNAME ]; then
    ROSVIM_PKGS="package1 package2 package3"
    for PKG_NAME in $ROSVIM_PKGS; do
      ROSVIM_PKG_PATH=$(rospack find $PKG_NAME 2> /dev/null)
      if [ $? -eq 0 ]; then
        ROSVIM_FNAME_FULL=$(find -L $ROSVIM_PKG_PATH -name "$ROSVIM_FNAME" | head -n1)
        if [ ! -z $ROSVIM_FNAME_FULL ]; then
          ROSVIM_FNAME=$ROSVIM_FNAME_FULL

jhjin

// 2016-08-26T21:10:13.167Z -> 1472245813167
namespace bpt = boost::posix_time;
uint64_t ISOdate2ms_boost(const std::string timestamp_) {
  std::string timestamp = timestamp_;
  if (timestamp[10] == 'T') timestamp[10] = ' ';
  if (timestamp[timestamp.size()-1] == 'Z') timestamp.resize(timestamp.size()-1);
  bpt::ptime epoch     = bpt::time_from_string("1970-01-01 00:00:00.000");
  bpt::ptime birthdate = bpt::time_from_string(timestamp);
  bpt::time_duration const diff = birthdate - epoch;
  uint64_t timestamp_numeric = diff.total_milliseconds();

jhjin

#!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
import caffe
caffe.set_mode_cpu()


path_src = 'src.caffemodel'
path_dst = 'dst.caffemodel'
net_src = caffe.Net('src.prototxt', path_src, caffe.TEST)

jhjin

brew install python
brew install wget
brew install protobuf
brew install boost-python
brew install lmdb
brew install leveldb
brew install snappy
brew install gflags
brew install glog
brew tap homebrew/science

jhjin

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
# USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers

jhjin

#!/usr/bin/bash
iterator=1
url="http://www.deeplearningbook.org/contents/"
array=(
   TOC.html
   acknowledgements.html
   notation.html
   intro.html
   part_basics.html 
   linear_algebra.html