Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting.

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.

curve fitting (peak fitting) software

Symbolic Fitting; fitting as it should be.

Generic curve fitting package with nonlinear mixed effects model

Autonomous driving trajectory planning solution for U-Turn scenario

Implementation of the Nelson-Siegel-Svensson interest rate curve model.

Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.

〰️ Curve fitting based on Schneider's algorithm. Written using C++11 and OpenSceneGraph (visualization)

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

Examples and demos showing how to call functions from the nAG Library for Python

A Modern Fortran translation of the FITPACK package for curve and surface fitting

Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.

Automatic parametric modeling with symbolic regression

GPU/TPU accelerated nonlinear least-squares curve fitting using JAX

Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs