Dale Smith dtsmith2001

## bfast bull and bear.r
#analyze breakpoints with the R package bfast
#please read the paper
#Verbesselt J, Hyndman R, Newnham G, Culvenor D (2010)
#Detecting Trend and Seasonal Changes in Satellite Image Time Series.
#Remote Sensing of Environment, 114(1), 106–115.
#http://dx.doi.org/10.1016/j.rse.2009.08.014

require(bfast)
require(quantmod)

## gdbinit
# INSTALL INSTRUCTIONS: save as ~/.gdbinit
#
# DESCRIPTION: A user-friendly gdb configuration file.
#
# REVISION : 7.3 (16/04/2010)
#
# CONTRIBUTORS: mammon_, elaine, pusillus, mong, zhang le, l0kit,
#               truthix the cyberpunk, fG!, gln
#
# FEEDBACK: https://www.reverse-engineering.net

## .tmux.conf
# This is a modified version that supports tmux 1.5 so you can use tmux on Cloud9 IDE.
# https://gist.github.com/chirayuk/6084618

# NOTE: The default TERM value under Cloud9 is set to vt100.  This won't give
#       you colors under tmux.  Before running tmux, "export
#       TERM=screen-256color" and then run tmux.  If you already ran tmux
#       before doing so, you can "tmux kill-server" to kill it and start a new
#       one.

#nop#  # https://gist.github.com/chirayuk/5377283

## aws_jupyter_tunnel.md

      
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                dtsmith2001
                / aws_jupyter_tunnel.md
            
            
              Created
              November 19, 2019 14:30
                — forked from jakechen/aws_jupyter_tunnel.md
            
              
                Creating and connecting to Jupyter Notebooks in AWS EC2
              
          
    Introduction

This quick guide describes how to create a Jupyter Notebook in AWS EC2 then how to access it remotely using SSH tunneling. This method is preferred since you do not open any additional ports besides 22, requires little-to-no configuration, and is generally more straight-forward.
Pre-requisites

This current version assumes basic familiarity with cloud computing, AWS services, and Jupyter Notebook. Mostly because this version won't have images and won't dive too deep into each individual step.
Steps

Spin-up EC2 instance with "Deep Learning" AMI


Log into EC2 console and click "Launch Instance" button.
Inside "AWS Marketplace", select the "Deep Learning AMI" from AWS. I use this AMI because most of the stuff you'll need is installed already.


## update-tensorflow.sh
#!/bin/bash
# Patrick Wieschollek

# =============================================================
# UPDATE SOURCE
# =============================================================
git checkout -- .
git pull origin master


## sources.list
deb [arch=amd64,i386] http://us.archive.ubuntu.com/ubuntu/ bionic main restricted universe multiverse
deb [arch=amd64,i386] http://us.archive.ubuntu.com/ubuntu/ bionic-updates main restricted universe multiverse
deb [arch=amd64,i386] http://us.archive.ubuntu.com/ubuntu/ bionic-backports main restricted universe multiverse
deb [arch=amd64,i386] http://security.ubuntu.com/ubuntu bionic-security main restricted universe multiverse

deb [arch=arm64,armhf,ppc64el,s390x] http://ports.ubuntu.com/ubuntu-ports/ bionic main restricted universe multiverse
deb [arch=arm64,armhf,ppc64el,s390x] http://ports.ubuntu.com/ubuntu-ports/ bionic-updates main restricted universe multiverse
deb [arch=arm64,armhf,ppc64el,s390x] http://ports.ubuntu.com/ubuntu-ports/ bionic-backports main restricted universe multiverse
deb [arch=arm64,armhf,ppc64el,s390x] http://ports.ubuntu.com/ubuntu-ports/ bionic-security main restricted universe multiverse

## tf-rasp.md

      
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                dtsmith2001
                / tf-rasp.md
            
            
              Created
              December 9, 2019 21:08
                — forked from EKami/tf-rasp.md
            
              
                Building TensorFlow for Raspberry Pi: a Step-By-Step Guide
              
          
    Building TensorFlow 1.3.0-rc1 for Raspberry Pi/Ubuntu 16.04: a Step-By-Step Guide

Here you'll learn how to build Tensorflow for the raspberry pi 3 with either the Python API or as a standalone shared library which can be interfaced from the C++ API and eventually as a library which can be used in other languages.
For the C++ library this tutorial will show you how extract tensorflow library and headers to use in any environment you want.
(This tutorial couldn't be possible without the help of the people from the References section)
What You Need


## tf2-raspi-buster.md

      
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                dtsmith2001
                / tf2-raspi-buster.md
            
            
              Last active
              December 15, 2019 02:14
            
              
                Building Tensorflow 2.0.0 on the Raspberry PI with Buster
              
          
    Building Tensorflow 2.0.0 on the Raspberry PI with Buster

These instructions were inspired by

Building Bazel on Raspberry PI
Building TensorFlow 1.3.0-rc1 for Raspberry Pi/Ubuntu 16.04: a Step-By-Step Guide
Raspberry PI Build Script from Tensorflow Repo
install.sh from the node-tensorflow project.

Updated information is included based on Tensorflow 2.0.0 and Bazel 0.26.1. As far as I know, the latest acceptable version of Bazel is 0.26.1.

  
## pandas-datatypes.ipynb

      
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              Created
              February 18, 2020 16:41
            
          
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## cubejs-mongodb.vagrantfile
# MIT License
#
# Copyright (c) 2021 Vallum Software, LLC
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
	#analyze breakpoints with the R package bfast
	#please read the paper
	#Verbesselt J, Hyndman R, Newnham G, Culvenor D (2010)
	#Detecting Trend and Seasonal Changes in Satellite Image Time Series.
	#Remote Sensing of Environment, 114(1), 106–115.
	#http://dx.doi.org/10.1016/j.rse.2009.08.014

	require(bfast)
	require(quantmod)
	# INSTALL INSTRUCTIONS: save as ~/.gdbinit
	#
	# DESCRIPTION: A user-friendly gdb configuration file.
	#
	# REVISION : 7.3 (16/04/2010)
	#
	# CONTRIBUTORS: mammon_, elaine, pusillus, mong, zhang le, l0kit,
	# truthix the cyberpunk, fG!, gln
	#
	# FEEDBACK: https://www.reverse-engineering.net
	# This is a modified version that supports tmux 1.5 so you can use tmux on Cloud9 IDE.
	# https://gist.github.com/chirayuk/6084618

	# NOTE: The default TERM value under Cloud9 is set to vt100. This won't give
	# you colors under tmux. Before running tmux, "export
	# TERM=screen-256color" and then run tmux. If you already ran tmux
	# before doing so, you can "tmux kill-server" to kill it and start a new
	# one.

	#nop# # https://gist.github.com/chirayuk/5377283
	#!/bin/bash
	# Patrick Wieschollek

	# =============================================================
	# UPDATE SOURCE
	# =============================================================
	git checkout -- .
	git pull origin master
	deb [arch=amd64,i386] http://us.archive.ubuntu.com/ubuntu/ bionic main restricted universe multiverse
	deb [arch=amd64,i386] http://us.archive.ubuntu.com/ubuntu/ bionic-updates main restricted universe multiverse
	deb [arch=amd64,i386] http://us.archive.ubuntu.com/ubuntu/ bionic-backports main restricted universe multiverse
	deb [arch=amd64,i386] http://security.ubuntu.com/ubuntu bionic-security main restricted universe multiverse

	deb [arch=arm64,armhf,ppc64el,s390x] http://ports.ubuntu.com/ubuntu-ports/ bionic main restricted universe multiverse
	deb [arch=arm64,armhf,ppc64el,s390x] http://ports.ubuntu.com/ubuntu-ports/ bionic-updates main restricted universe multiverse
	deb [arch=arm64,armhf,ppc64el,s390x] http://ports.ubuntu.com/ubuntu-ports/ bionic-backports main restricted universe multiverse
	deb [arch=arm64,armhf,ppc64el,s390x] http://ports.ubuntu.com/ubuntu-ports/ bionic-security main restricted universe multiverse
	# MIT License
	#
	# Copyright (c) 2021 Vallum Software, LLC
	#
	# Permission is hereby granted, free of charge, to any person obtaining a copy
	# of this software and associated documentation files (the "Software"), to deal
	# in the Software without restriction, including without limitation the rights
	# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
	# copies of the Software, and to permit persons to whom the Software is
	# furnished to do so, subject to the following conditions: