distfit is a python library for probability density fitting.
-
Updated
May 17, 2024 - Jupyter Notebook
distfit is a python library for probability density fitting.
A Julia package for fitting the equation of state of solids, and more
Versatile spectrum analyser for experimental data
Several numerical methods are provided here written in Python.
This package is used to select the best-fitting model.
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
Fitting a sine function using a Neural Network
Python script to fit an empirical distribution to an theorical statistical distribution
Files for modelling COVID-19 virus
Script to determine your W' and CP based on data from intervals.icu
Fits JxV curves obtained from solar cells operating in the dark and calculates important parameters
Fits JxV curves obtained from solar cells under illumination and calculates important parameters
Tronos: TRacking of Nuclear OScillations
Mathematical curve-fitting library for Arduino
Codes I created, in python, to fit to supplied data sets and the like
Estimating the main parameters of a Worm-Like Chain Molecule from Force-Extension Measurements.
Ellipse fitting by spatial averaging of random ensembles
En esta investigación se intenta describir la dinámica de gotas de metal líquido cayendo bajo efectos de un campo magnético externo, usando las librerías de python, pandas, numpy, matplotlib, scipy y sympy.
Add a description, image, and links to the fitting-curve topic page so that developers can more easily learn about it.
To associate your repository with the fitting-curve topic, visit your repo's landing page and select "manage topics."