Jacob Barhak's repositories
EveningOfPythonCoding
This page contains information on the Evening of Python Coding held in Austin
BIM
The BIM software registers point clouds to CAD models. It includes automatic registration algorithms. It is useful in cases where complex shapes are inspected by laser scanners. Sample cloud points and models are provided with the software. The BIM software was developed at the NSF Engineering Research Center for Reconfigurable Manufacturing Systems (ERC/RMS) at the University of Michigan. This is the version from 20 November 2005. The development team at the time was: Xinju Li, Jacob Barhak, Igor Guskov, Geoffrey W. Blake.
Presentations
Presentations by Jacob Barhak
COVID19Models
Various COVID-19 computational models
FairTournament
Attempts to create a fair tournament with M teams with N1,N2..Nm players in each team with at most MaxRounds
Jacob-Barhak.github.io
Jacob Barhak Github Pages
scipy_proceedings
Tools used to generate the SciPy conference proceedings
DiseaseModelsSBML
This repository holds simple abstract disease models implemented using SBML arrays that can be simulated in iBioSim. It also contains MIST implementation of the same examples for reference. This code supports the paper titled: "Disease Models using the System Biology Markup Language (SBML)"
ModelCombiner
This code supports the results in the MODSIM 2016 paper titled: "Optimizing Model Combinations"
NN
This is Visual Studio C++ code written by Jacob Barhak as part of the Ph.D. thesis that is also provided. The code implements several types of self organizing Neural Networks for the purpose of reconstructing meshes from point clouds. Some point cloud samples are provided in the samples directory.
AnacondaRecipes
Recipes with dependencies to build Anaconda packages
APUG_presentations
Austin Python Users Group presentations
ClusterWebLog
Visualize and Analyze a public web log from MSNBC using clustering
holoviews
With Holoviews, your data visualizes itself.
IEP
This software enables estimating Markov model coefficients given a set of studies with sufficient data observations and associated population data. The software implements a method referred to as the Lemonade Method since when study data give you lemons, make lemonade.
JinaDemo
A Demo of a simple Jina executor that classifies videos and images
panel
A high-level app and dashboarding solution for Python
PrefectDemo
Prefect demo for the evening of python coding
scipy2013_talks
Content presented at the 2013 SciPy conference
SharingDiseaseModels
Sharing Disease Models: Examples of sharing formats