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.
GPU-accelerated Levenberg-Marquardt curve fitting in CUDA
Generic curve fitting package with nonlinear mixed effects model
curve fitting (peak fitting) software
Autonomous driving trajectory planning solution for U-Turn scenario
Implementation of the Nelson-Siegel-Svensson interest rate curve model.
Examples and demos showing how to call functions from the NAG Library for Python
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)
Symbolic Fitting; fitting as it should be.
Curve fitting method in JavaScript
Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.
Tool for estimating growth rates from microbial growth curves
A peak-fitting tool based on MATLAB for spectroscopic data analysis.
MiraPy: A Python package for Deep Learning in Astronomy
A collection of numerical methods written in Nim
Advanced Technique for Curve Fitting
Python 3 tkinter graphical curve fitting and surface fitting application, saves results to PDF.
Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
〰️ Approximate spline of any degree to given data
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