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Hi there 👋, I'm Ashley Setter, I am a software developer at NquiringMinds as well as a doctor of physics who worked with laser-based optical levitatation of nanoparticles.

My work at NquiringMinds involves developing browser based smart AI-powered analytics platforms to help businesses and organisations gain insights into the data they hold and have access to as well as developing easy-to-use workflow systems to simplyify complicated workflow processes and capture data as it is entered/created by users.

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Ashley Setter's Projects

boostdsp icon boostdsp

VHDL Library for implementing common DSP functionality.

frange icon frange

Data type for efficiently storing large arrays of equally separated data in python, similar to range but for floats.

geotiff.js icon geotiff.js

geotiff.js is a small library to parse TIFF files for visualization or analysis. It is written in pure JavaScript, and is usable in both the browser and node.js applications.

kalman icon kalman

Some Python Implementations of the Kalman Filter

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kalmancpp icon kalmancpp

Linear Kalman filter implementation in C++ with Cython Wrapper so that it may be used in python.

machinelearningwithscikitlearn icon machinelearningwithscikitlearn

My work following the Machine learning track on datacamp: https://www.datacamp.com/onboarding/topic/6?from=home&technology=python

ndtest icon ndtest

multi-dimensional statistical test with python

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