Using advanced control and computer vision techniques in an easy way for embedded
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Updated
Aug 10, 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.
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.
Facial Recognition using supervised machine learning
Generic library for making predictions using Simca-QP. Use this library to write standalone and client/server applications for SIMCA-QP.
Machine Learning from scratch in C
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