Scripts used to post process data collected from my research simulations
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Updated
May 7, 2021 - Python
Scripts used to post process data collected from my research simulations
A code sample to make Microsoft Flight SImulator 2020 screenshots a little bit more realistic
This application will reduce the number of vertices and faces on 3D surfaces by the percent reduction chosen. It can also be used to convert between filetypes.
This repository offers Python scripts for efficiently processing data from cognitive tests like PVT, DSST, and Serial Addition, utilizing Streamlit for streamlined batch processing. It converts raw outputs into structured CSVs for comprehensive and individual analyses.
Reorder solutions of parametric studies to make continuous curves
A published paper in PEARC18: Combining HPC and Big Data Infrastructures in Large-Scale Post-Processing of SimulaBon Data: A Case Study
Convert solid infill to variable density for MPF/G-code
This application will create a 3D surface for 87 freesurfer labels from the aparc+aseg.mgz file.
Add relevant GCode headers to PrusaSlicer's outputted GCode files.
A Python Script to verify user 3D printing slicer setting
postprocessor for experimental (event based) data.
Machine learning codes are usually laden with far too many complexities (hyperparameters, preprocessing and right things coded in wrong places ...). I am on a mission to untangle ML code by logically separating work flow and creating a re-usable framework that you can easily apply to your machine learning tasks involving any type of data.
Maps 3D coordinates and associated values to a 2D plane.
Prints the a Configuration-Report of a GCode File sliced with Slic3r
Postprocessor for LandscapeDNDC: translates default output to netCDF files
Postprocessing for turbulent channel flow
A data processing and analysing library
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