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

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

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

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

Examples demonstrating the nAG Library for Java

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

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

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

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

Several numerical methods are provided here written in Python.

MatBase provides access to an extensive database of material parameters, inelastic mean free paths (IMFP), photoionization binding energies, cross sections, and asymmetry parameters. Additionally, MatBase includes a suite of functions for users to load, process, model and fit their own data, making it an indispensable tool in the field.

Includes data interpolation(involves Newton and Lagrange methods) and data fitting(involves solution of linear equations and least square method).

Code supporting 'Neural mechanisms of EEG alpha-BOLD anticorrelation'