There are 8 repositories under curve-fitting topic.
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.
Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.
Generic curve fitting package with nonlinear mixed effects model
Implementation of the Nelson-Siegel-Svensson interest rate curve model.
Autonomous driving trajectory planning solution for U-Turn scenario
:wavy_dash: Curve fitting based on Schneider's algorithm. Written using C++11 and OpenSceneGraph (visualization)
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
A large collection of equations for Python 2 curve fitting and surface fitting that can output source code in several computing languages, and run a genetic algorithm for initial parameter estimation. Comes with cluster, parallel, IPython, GUI, NodeJS, and web-based graphical examples. Includes orthogonal distance and relative error regressions.
A collection of numerical methods written in Nim
Code examples for using the originpro Python package to interact with Origin software.
Curve fitting method in JavaScript
Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.
Examples and demos showing how to call functions from the nAG Library for Python
GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
MiraPy: A Python package for Deep Learning in Astronomy
A peak-fitting tool based on MATLAB for spectroscopic data analysis.
Master's disseration source code to find peaks of Raman Spectroscopy of CZTS and fit Lorentzians to decompose the structure.
A powerful library extending VBA with over 100 functions for math, stats, finance, and data manipulation. It supports matrix operations, and user-defined functions, enhancing automation and analysis within Microsoft Office and LibreOffice environments for data management, financial calculations, an more.
B-Spline, Bezier, and Linear/Non-Linear fitting (Approximation and Interpolation) algorithms are implemented in Javascript.
Application for data analysis and curve fitting
Tools for uncertainty propagation and measurement unit conversion — Outils pour la propagation des incertitudes et la conversion d'unités de mesure
Pearson Type III Curve Fitting and Plotting
Fit polynomial curves to given points using least squares regression
📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.
A large collection of equations for Python 3 curve fitting and surface fitting that can output source code in several computing languages, and run a genetic algorithm for initial parameter estimation. Comes with cluster, parallel, IPython, GUI, NodeJS, and web-based graphical examples. Includes orthogonal distance and relative error regressions.
Tool for estimating growth rates from microbial growth curves
Point Projection On Parametric Curves / Trajectory Maps for Autonomous Driving
Advanced Technique for Curve Fitting
A curve fitting program for small-angle scattering curves, mostly from SAXS and SANS experiments in analytical or biological chemistry. 📄https://doi.org/10.1107/S1600576722009037 📄https://doi.org/10.1107/S1600576717011979 📄https://doi.org/10.1107/S1600576715016544
Python 3 tkinter graphical curve fitting and surface fitting application, saves results to PDF.