distfit is a python library for probability density fitting.
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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
Fits JxV curves obtained from solar cells under illumination and calculates important parameters
Python script to fit an empirical distribution to an theorical statistical distribution
Files for modelling COVID-19 virus
Fitting a sine function using a Neural Network
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
This repository contains Python code for analyzing and fitting photoluminescence spectra of semiconductor nanostructures.
Tronos: TRacking of Nuclear OScillations
Mathematical curve-fitting library for Arduino
Estimating the main parameters of a Worm-Like Chain Molecule from Force-Extension Measurements.
Codes I created, in python, to fit to supplied data sets and the like
Ellipse fitting by spatial averaging of random ensembles
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