Header only framework for data analysis in massively parallel platforms.

Smooth data fitting in N dimensions.

A Software to interactively edit data in a graphical manner

Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters

PyFRAP: A Python based FRAP analysis tool box

Ecosystem of numerical methods for microbial kinetics data analysis, from preprocessing to result interpretation.

A collection of links to free and proprietary curve fitting software.

In the context of Deep Learning: What is the right way to conduct example weighting? How do you understand loss functions and so-called theorems on them?

Repo to license code for fitting a sum of exponentials as described in https://math.stackexchange.com/questions/1428566/fit-sum-of-exponentials/3808325#3808325

Real-time brain states tracking system and corticothalamic neural field parameter estimation

Examples demonstrating the nAG Library for Java

Non-linear fitting tool for supramolecular titration experiments and kinetics.

A package for fitting (curve restricted) smoothing splines of degrees 2p-1 using the Gaussian process view with a rank structured kernel matrix.

Master thesis - Functional distribution fitting of the top tails of the wealth distribution by the example of Germany and the United States

Data Fitting and Minimization Function

MatBaseX is an all-in-one database and analytical tool for photoelectron spectroscopy (PES) analysis, focused on materials and their X-ray interactions. It offers features like a Materials Properties Database, IMFP & XPS Sensitivity Factor Calculator, and PES N-Layer Simulations & Curve Fitting utilities. Explore its powerful capabilities today!

Several numerical methods are provided here written in Python.

A streamlined version of the MatBaseX MATLAB-based suite.

This code is a GUI wrapper around polyfit and scipy curve optimize to easily allow users to plot polynomial and custom law graphs. The code gives values for fitting parameters with uncertainties and reduced chi squared values for data analysis and comparison with theory.