There are 2 repositories under data-fitting topic.
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
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.
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?
Real-time brain states tracking system and corticothalamic neural field parameter estimation
Non-linear fitting tool for supramolecular titration experiments and kinetics.
Examples demonstrating the nAG Library for Java
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!
Master thesis - Functional distribution fitting of the top tails of the wealth distribution by the example of Germany and the United States
A package for fitting (curve restricted) smoothing splines of degrees 2p-1 using the Gaussian process view with a rank structured kernel matrix.
Data Fitting and Minimization Function
Several numerical methods are provided here written in Python.
An approach to the modeling of linear systems and the analysis of their response to arbitrary inputs, together with data fitting models
XmgFit is a wrapper for Xmgrace allowing to use the non-linear curve fitting capability of Xmgrace from the command line.
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).
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.
This project allows a quick manual fit of SHG or any polar data using a generalized trigonometric function. The fitting data can be easily exported after then.
Useful convex optimization applications and algorithms.
A tool for guided input modeling and data fitting.
Fitting a known probability distribution to a particular dataset based on Pearson’s Distributions.
A GUI for Grid-Based Temporal Logic Inference
Canadev 2018 Data Science Hackathon by STATISTICS Canada
Assignments in unconstrained optimization course covering 1st half of Nocedal and Wright textbook.
Portfolio containing my past and current projects to demonstrate bit of my coding abilities, both in Python and C++