FIR & LMS filter implementation in C++ with Python & JAVA wrappers
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Updated
Apr 15, 2024 - C
FIR & LMS filter implementation in C++ with Python & JAVA wrappers
Implementation of a Partial Least Squares Regressor
Graduate Level Course of Technical University of Munich
A collection of python implementations using SWIG, Instant, F2PY... Optimization like Least Squares Levenberg-Marquardt. Boundary Value problem solvers. Integration Simpson/Trapezoidal. Interpolation like Cubic spline. Tridiagonal/pentadiagonal system of equations solver. Linear algebra like Matrix inversion (Gauss-Jordan) and much more
A bare-bones (minimal dependencies) implementation of some ML algorithms (classifying/clustering) as part of the Machine Learning postgraduate course assignments in the GUC
Tic Tac Toe game with machine learning (LMS) using Python & Qt
Simple example of counting approximation by least squares using JavaFX
Resources for the book "Chi-Squared Data Analysis and Model Testing for Beginners" by Carey Witkov and Keith Zengel, Oxford University Press, 2019.
Solving the Least Squares Problem via reduced QR factorization by Gram-Schmidt and by Householder triangularization.
Optimization algorithms
Position Uncertainty in drone swarms
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