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Projects in Awesome Lists tagged with model-fitting

A curated list of projects in awesome lists tagged with model-fitting .

https://github.com/zfit/zfit

Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience.

high-energy-physics likelihood model-fitting scikit-hep tensorflow

Last synced: 15 May 2025

https://github.com/chasmani/piecewise-regression

piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes.

data-analysis linear-regression model-fitting piecewise-regression python3 regression segmented-regression statistics

Last synced: 21 Oct 2025

https://github.com/neuralensemble/neurotune

Package for fitting/optimization of NeuroML models

computational-neuroscience evolutionary-algorithm model-fitting neuroml python

Last synced: 25 Oct 2025

https://github.com/int-brain-lab/ibl-changepoint

Toolbox for change-point detection and ideal-observer analyses of IBL task data

change-point-detection matlab model-fitting plotting psychophysics

Last synced: 14 Oct 2025

https://github.com/anilbey/nonlinear-model-identification-with-froe

Implementation of the algorithm described in the following paper. Korenberg, M., Billings, S.A. and Liu, Y.P. (1987) An Orthogonal Parameter Estimation Algorithm for Nonlinear Stochastic Systems

feature-selection matlab model-fitting modeling non-linear-optimization system-identification

Last synced: 28 Apr 2025

https://github.com/canmod/macpan2

Tools for building and calibrating compartmental models of infectious disease.

compartmental-models epidemiology forecasting mixed-effects model-fitting optimization simulation simulation-modeling

Last synced: 17 Jan 2026

https://github.com/poissonconsulting/universals

An R package of S3 generic methods for Bayesian analyses that generate MCMC samples

cran generics model-fitting rstats s3

Last synced: 02 Aug 2025

https://github.com/shridhar1504/sales-forecasting-datascience-project

Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.

data-analytics data-cleaning data-science data-testing data-visualization forecasting-models machin model-evaluation model-fitting prediction predictive-modeling python3 regression-algorithms salesforecast sklearn-library supervised-learning

Last synced: 30 Oct 2025

https://github.com/zubax/jafit

Jiles-Atherton system identification tool: Given a B(H) curve, finds the Jiles-Atherton model coefficients. Supports various JA model formulations. Has an interactive GUI.

hysteresis-loop jiles-atherton magnet magnetism model-fitting system-identification

Last synced: 02 Apr 2026

https://github.com/lacerbi/nyu2023-bayes

Tutorial on Bayesian model fitting with (Py)VBMC.

bayesian-inference matlab model-fitting python

Last synced: 08 May 2026

https://github.com/simonehagey/orbdot

A Python package for studying secular evolution of exoplanet orbits using observational data.

exoplanet-radial-velocities exoplanet-transits exoplanets model-fitting nested-sampling orbital-evolution

Last synced: 14 Jan 2026

https://github.com/shridhar1504/foreign-exchange-rate-time-series-datascience-project

This project will use time series analysis to forecast the exchange rate between the euro and the US dollar. The project will use a variety of statistical techniques, such as ARIMA to model the data and forecast the exchange rate.

data-analysis data-preprocessing data-science data-transformation data-visualization eda exploratory-data-analysis foreign-exchange-rates machine-learning model-fitting predictive-modeling python3 time-series time-series-analysis

Last synced: 17 May 2026

https://github.com/nrgrp/dlfm

Multi-convex programming for discrete latent factor models prototyping

convex-optimization latent-variable-models model-fitting multi-convex-programming

Last synced: 16 Jan 2026

https://github.com/wlanboy/vram-model-calculator

Python based calculator for total vram usage of you gguf models

calculator context mirror model-fitting python vram

Last synced: 08 Jun 2026

https://github.com/acerbilab/svbmc

Stacking Variational Bayesian Monte Carlo (S-VBMC) algorithm for combining Variational Bayesian Monte Carlo (VBMC) posteriors to boost inference performance.

bayesian-inference data-analysis machine-learning model-fitting python stacking variational-inference

Last synced: 20 Jan 2026

https://github.com/antoniofs23/function-fitting-demo

step-by-step walkthrough of model fitting via least squares and staircase validation via negative log likelihood in MATLAB

logistic-regression matlab model-fitting psychophysics reverse-correlation

Last synced: 11 May 2026

https://github.com/balajimohan18/foreign-exchange-rate-time-series-datascience-project

This project will use time series analysis to forecast the exchange rate between the euro and the US dollar. The project will use a variety of statistical techniques, such as ARIMA to model the data and forecast the exchange rate.

data-analysis data-analytics data-preprocessing data-science data-transformation data-visualization eda exploratory-data-analysis foreign-exchange-rates machine-learning model-fitting predictive-modeling python3 time-series time-series-analysis

Last synced: 14 May 2026