Header only framework for data analysis in massively parallel platforms.
-
Updated
Dec 6, 2023 - C++
Header only framework for data analysis in massively parallel platforms.
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
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
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?
A collection of links to free and proprietary curve fitting software.
Ecosystem of numerical methods for microbial kinetics data analysis, from preprocessing to result interpretation.
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.
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
A package for fitting (curve restricted) smoothing splines of degrees 2p-1 using the Gaussian process view with a rank structured kernel matrix.
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.
Code supporting 'Neural mechanisms of EEG alpha-BOLD anticorrelation'
Includes data interpolation(involves Newton and Lagrange methods) and data fitting(involves solution of linear equations and least square method).
Add a description, image, and links to the data-fitting topic page so that developers can more easily learn about it.
To associate your repository with the data-fitting topic, visit your repo's landing page and select "manage topics."