This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
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Updated
Dec 9, 2022 - Jupyter Notebook
This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]
Computational Methods in Chemical Engineering (UMass Lowell, Spring 2024); Prof. Valmor F. de Almeida.
Fit a set of 3D points to a cylinder surface.
The Random Cluster Model for Robust Geometric Fitting
Magnetic sensor calibration in c# using Q. Li ellipsoid fitting
C++ version of the SED fitting code FAST (Kriek et al. 2009); it's faster, uses less memory, and has more features.
Robust Regression for arbitrary non-linear functions
Fit Multiple Smaller Rectangles Into Larger Rectangles or Images - Iterative Permutational Optimization Method
Python package for fitting of O-C diagrams.
Radial-Basis-Function-Network for solving the 1D- and 2D-minimization problem
Non-linear fittng for circle, sphere and cylinder geometry - based on NIST and Levenberg-Marquardt algorithm
MGFit - IDL/GDL Library for Least-Squares Minimization Genetic Algorithm Fitting
Volume visualization application using MFA-DVR implemented on top of VTK.
Gaussfitter! Fitting 2D gaussians. Used to be on agpy
Formulations and Solutions to a set of Problems using Linear Programming Paradigms
Fitting a 3D ellipsoid to an arbitrary 3D shape for RVE evaluation.
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