fitting
Here are 101 public repositories matching this topic...
This is a implementation of the 3D FLAME model in PyTorch
-
Updated
May 23, 2023 - Python
A 3DMM fitting framework using Pytorch.
-
Updated
Jan 12, 2024 - Python
Jupyter-friendly Python interface for C++ MINUIT2
-
Updated
Sep 22, 2025 - Python
Python code for Stellar Population Inference from Spectra and SEDs
-
Updated
Sep 4, 2025 - Python
Fit models to your data in Python with Sherpa.
-
Updated
Sep 25, 2025 - Python
A library for discrete-time Markov chains analysis.
-
Updated
Jan 1, 2025 - Python
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
-
Updated
Aug 6, 2025 - Python
Distributed data processing routines for multidimensional photoemission spectroscopy (MPES)
-
Updated
Jan 23, 2023 - Python
📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.
-
Updated
Sep 24, 2025 - Python
RepTate (Rheology of Entangled Polymers: Toolkit for Analysis of Theory & Experiment)
-
Updated
Aug 27, 2024 - Python
A straightforward Bayesian data fitting library
-
Updated
Oct 29, 2024 - Python
Bayesian Extinction And Stellar Tool
-
Updated
Sep 25, 2025 - Python
A Python framework for the batch processing and deconvolution of Raman spectra of carbonaceous materials.
-
Updated
Sep 4, 2025 - Python
Time-resolved spectroscopy toolbox for python
-
Updated
Mar 29, 2025 - Python
Model Decomposition for Near- to Mid-Infrared Spectroscopy of Astronomical Sources
-
Updated
Aug 28, 2025 - Python
**curve_fit_utils** is a Python module containing useful tools for curve fitting
-
Updated
Dec 23, 2017 - Python
Robust Regression for arbitrary non-linear functions
-
Updated
Jun 16, 2018 - Python
Improve this page
Add a description, image, and links to the fitting topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the fitting topic, visit your repo's landing page and select "manage topics."