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
Dec 15, 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
curve fitting (peak fitting) software
Symbolic Fitting; fitting as it should be.
Generic curve fitting package with nonlinear mixed effects model
Curvature Corrected Moving Average: An accurate and model-free path smoothing algorithm.
Autonomous driving trajectory planning solution for U-Turn scenario
Implementation of the Nelson-Siegel-Svensson interest rate curve model.
〰️ 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
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
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
Code examples for using the originpro Python package to interact with Origin software.
GPU/TPU accelerated nonlinear least-squares curve fitting using JAX
A Modern Fortran translation of the FITPACK package for curve and surface fitting
Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
MiraPy: A Python package for Deep Learning in Astronomy
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