This is the site where you will find home-grown applications,
information about trends in both data and computer science
fields of research. Sample code is available on the website to
be used within your projects. Sample data-sets can be
downloaded for training and testing.
There are numerous games and utilities that can be downloaded
from the application section and nearly all sample applications
There are some useful Deep Learning examples developed in
Python using the the PyTorch Framework and the Yolo
Version 4 object/image-classification toolkit.
The Knowledge Base Application
There is also a knowledge-base application
which can be downloaded from the applications page. There are
also numerous knowledge-base files which can be downloaded -
then viewed or edited by the knowledge-base
application. Some are reference material to Azure
Exams; instructions to administer SQLServer
Databases or of just general interest.
If you are up to it there are some clones of popular games
and are quite large and some are 100M in size but
don't be alarmed everything to run the application is kept
within the file. Hopefully, sometime in the future
all the applications featured on this site will have both a Mac
and Linux version available for download.
The Petri-Pipe is a utility designed to build
a petri-net supporting all the modern extensions including
colour, mutliple tokens, and inhibitor arcs. Petri Nets were
devised way back in 1962 by a German Computer Scientist - Adam
Petri - he devised a visual language to describe chemical
reactions. He later adpated this language to model concurrent
computer systems. Petri Net's are sometimes call
place/transition diagrams where the place represent a state
and a transition represents the process or
activity. Place and Transitions are joined together
by one or more arcs. Arcs also
have an associated direction (represented by the arrow head) and
a weight (the tokens consumed by the arc or required by the Transition
to fire). Tokens also indicate the current active
state of the network.
Currently, there are no nice tools that are able to
capture the power of Adam Petri's language. I decide
to develop Petri-Pipe to fill in the gap. Petri-Pipe
is an electron application that can be downloaded
from the Application/Utilities section.
YATT (Yet Another Tagging
Tool) is a tool that tags and prepares images
for Deep Learning. A YATT archive is a
zip file that contains both images and definition files which
can be later processed by Deep Learning frameworks and toolkits
for training purposes.
Thanks for visiting, I am Data Scientist living in Australia's
Nations Capital - Canberra. I have been working with Computers
in one form or another for over 40 years - yes that is
right - that long. During that time, I have developed an
understanding of the IT landscape from the rise and fall of
mainframes; to the rise and fall of client server
applications; and the recent rise of the internet.
I am very fond of Python and Node.js
as programming languages and almost all applications available
on this website are built with one of those languages (if not
both). I am a prolific computer programmer, data scientist and
are able to solve many complex computational
problems given the time to do so.
I really like the Yolo (You
Only Look Once)
deep learning framework for both image classification and object
detection. Yolo is a very easy framework to use and tune
especially Yolo's hyper parameters. Furthermore, Yolo can
be easily adapted to work on Microsoft's Azure Machine Learning
My interests include, classical music (Led Zeppelin, Jethro
Tull, etc), tennis (I used to be a good player, however I have
succumbed to age), woodwork and the piano/keyboard. I have a
lovely wife, beautiful daughter and two dogs.
I am currently working as a Data and AI Cloud Solution
Architect at Microsoft based in Australia's
National Capital - Canberra.