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

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.

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.

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

A collection of numerical methods written in Nim

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

Curve fitting method in JavaScript

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

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

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

Solution to Kaggle's PLAsTiCC Astronomical Classification Competition

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

MiraPy: A Python package for Deep Learning in Astronomy

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

A peak-fitting tool based on MATLAB for spectroscopic data analysis.