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Bill Tubbs's Projects

image-edit icon image-edit

Some basic image manipulation tasks using the Python PIL library.

jax-examples icon jax-examples

Trying out Jax for use with dynamic systems, system identification

keras-examples icon keras-examples

Python scripts from Keras / Tensorflow machine learning tutorial

lang-comp icon lang-comp

Comparison of high-level programming languages for numerical computing.

led-fire-place icon led-fire-place

Scripts used to generate LED intensity data sequences to mimic fireplace video.

lit-analysis icon lit-analysis

Python scripts to analyze research paper bibliography from Zotero

mail icon mail

Minimal PyQt5 application to archive selected emails from an email application on local drive.

mech-575 icon mech-575

Code examples for UBC course MECH-575 Data-Driven Modeling and Control of Dynamical Systems

ml-data-utils icon ml-data-utils

MATLAB scripts to facilitate handling and saving data from automated experiments.

ml-obs icon ml-obs

State estimators for dynamic processes

ml-plot-utils icon ml-plot-utils

MATLAB scripts to facilitate common plotting tasks for data from dynamical systems simulations.

ml-sys-id icon ml-sys-id

MATLAB functions to identify autoregressive (AR) linear models from time series data.

mpc-code icon mpc-code

Trying out various model predictive control tools

nl-sys-id icon nl-sys-id

Examples of non-linear dynamical system identification using various methods

numpy-examples icon numpy-examples

Selection of example code and demonstrations of key numpy objects and methods

obj-recog icon obj-recog

Very simple object recognition problem to demonstrate classification if 'images' with neural networks.

optht icon optht

Optimal Hard Threshold for Matrix Denoising

papirus-zero icon papirus-zero

Python script to display current weather conditions and next bus time on Papirus ePaper LCD display.

process-models icon process-models

Various dynamic process models used for control system testing and benchmarking

pymc-examples icon pymc-examples

Learning how to use PyMC for state estimation of a dynamic system

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