Using advanced control and computer vision techniques in an easy way for embedded
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Updated
Jul 30, 2024 - C
Using advanced control and computer vision techniques in an easy way for embedded
A parallelized implementation of Principal Component Analysis (PCA) using Singular Value Decomposition (SVD) in OpenMP for C. The procedure used is Modified Gram Schmidt algorithm. The method for Classical Gram Schmidt is also available for use.
Facial Recognition using supervised machine learning
Tools for quantifying latent space class separations
The chemgps-sqp2 package contains a daemon, client and standalone program for making predictions using Umetrics Simca-QP. The programs is based on the libchemgps library.
Machine Learning from scratch in C
Generic library for making predictions using Simca-QP. Use this library to write standalone and client/server applications for SIMCA-QP.
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