Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
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Updated
May 11, 2024 - Python
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
Fitting an Ellipse using a Least Squares method, in Python
Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)
Find ellipsoid fit for arbitrary data with python/numpy, plot it or write to file.
Symbolic Fitting; fitting as it should be.
My collection of implementations of adaptive filters.
Python-based Derivative-Free Optimizer for Least-Squares
3D pose estimation of an RGB-D camera using the least squares technique
🛰️ Double Differencing: Main method of high precision commercial positioning. This method requires two high grade GNSS receivers. In this case a reference, and a (static or kinematic) rover receiver.
L1-regularized least squares with PyTorch
DLTReconvolution - A Python based software for the analysis of lifetime spectra using the iterative least-square reconvolution method
DFO-GN: Derivative-Free Optimization using Gauss-Newton
SLAM system using Total Least Square algorithm to determine the trajectory of a robot moving in a given environment
Various adaptive filter implementations (university project)
Fitting the Hill Equation to Experimental Data
**curve_fit_utils** is a Python module containing useful tools for curve fitting
Solve symbolically defined systems of non-linear equations numerically.
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