https://github.com/casadi/casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

academic-project algorithmic-differentation c-plus-plus code-generation derivatives library mathematics matlab modular nonlinear nonlinear-programming numerical-calculations octave optimal-control optimization parameter-estimation python scientific-computing symbolic-manipulation

Last synced: 25 Jan 2026

https://github.com/mackelab/sbi

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.

bayesian-inference likelihood-free-inference machine-learning parameter-estimation pytorch simulation-based-inference

Last synced: 05 Apr 2025

https://github.com/sbi-dev/sbi

Simulation-based inference toolkit

bayesian-inference likelihood-free-inference machine-learning parameter-estimation pytorch simulation-based-inference

Last synced: 15 Jul 2025

https://github.com/stefanradev93/BayesFlow

A Python library for amortized Bayesian workflows using generative neural networks.

amortized-inference bayesian-inference deep-learning invertible-networks likelihood-free model-comparison parameter-estimation simulation-based uncertainty-quantification

Last synced: 05 Mar 2025

https://github.com/ICB-DCM/pyPESTO

python Parameter EStimation TOolbox

hacktoberfest optimization parameter-estimation python systems-biology

Last synced: 22 Jul 2025

https://github.com/icb-dcm/pypesto

python Parameter EStimation TOolbox

hacktoberfest optimization parameter-estimation python systems-biology

Last synced: 19 Jun 2025

https://github.com/pints-team/pints

Probabilistic Inference on Noisy Time Series

bayesian-methods inverse-problems numerical-optimization parameter-estimation

Last synced: 06 Mar 2026

https://github.com/undark-lab/swyft

A system for scientific simulation-based inference at scale.

likelihood-free-inference machine-learning marginal-neural-ratio-estimation neural-ratio-estimation parameter-estimation python pytorch simulation-based-inference truncated-neural-ratio-estimation

Last synced: 17 Nov 2025

https://github.com/baggepinnen/controlsystemidentification.jl

System Identification toolbox, compatible with ControlSystems.jl

arx coherence control-systems controls dynamical-systems estimation frequency-response identification kalman-filter lti-system n4sid parameter-estimation spectral-analysis state-space-systems subspace-identification system-identification time-series time-series-analysis transfer-function-estimation

Last synced: 02 Feb 2026

https://github.com/openmole/openmole

Workflow engine for exploration of simulation models using high throughput computing

dirac distributed-computing egi grid hyperparameters modeling-tool parameter-estimation parameter-search parameter-tuning scala scientific-computing workflow workflow-engine

Last synced: 11 Oct 2025

https://github.com/amici-dev/amici

High-performance sensitivity analysis for large ordinary differential equation models

adjoint-sensitivities cvode cvodes differentialequations forward-sensitivities hacktoberfest idas kinetic-modeling mechanistic-models modeling ode parameter-estimation petab pysb python sbml sensitivities sensitivity-analysis simulation systemsbiology

Last synced: 13 Mar 2026

https://github.com/usgs/pestpp

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

ensemble-methods ensembles global-sensitivity-analysis non-intrusive optimization optimization-tools parallel-computing parameter-estimation sensitivity-analysis uncertainty-quantification

Last synced: 04 Apr 2025

https://github.com/baggepinnen/lowlevelparticlefilters.jl

State estimation, smoothing and parameter estimation using Kalman and particle filters.

bayesian-inference control-systems controls data-assimilation dynamical-systems estimation extended-kalman-filter gnss guidance-navigation-control kalman-filter monte-carlo-methods parameter-estimation particle-filter prediction-error-method sequential-monte-carlo state-estimation system-identification tracking unscented-kalman-filter virtual-sensing

Last synced: 17 Jan 2026

https://github.com/SciML/StructuralIdentifiability.jl

Fast and automatic structural identifiability software for ODE systems

differentialequations julia parameter-estimation structural-identifiability

Last synced: 04 May 2025

https://github.com/baggepinnen/LowLevelParticleFilters.jl

State estimation, smoothing and parameter estimation using Kalman and particle filters.

bayesian-inference control-systems controls data-assimilation dynamical-systems estimation extended-kalman-filter kalman-filter monte-carlo-methods parameter-estimation particle-filter prediction-error-method sequential-monte-carlo state-estimation state-estimation-algorithms state-estimation-filters system-identification unscented-kalman-filter virtual-sensing virtual-sensors

Last synced: 04 May 2025

https://github.com/sciml/structuralidentifiability.jl

Fast and automatic structural identifiability software for ODE systems

differentialequations julia parameter-estimation structural-identifiability

Last synced: 04 Apr 2025

https://github.com/weijie-chen/basic-statistics-with-python

Introduction to statistics featuring Python. This series of lecture notes aim to walk you through all basic concepts of statistics, such as descriptive statistics, parameter estimations, hypothesis testing, ANOVA and etc. All codes are straightforward to understand.

anova-analysis data-science descriptive-statistics econometrics frequentist-statistics hypothesis-testing mathematics parameter-estimation probability

Last synced: 14 Aug 2025

https://github.com/sciml/quasimontecarlo.jl

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

julia parameter-estimation physics-informed-learning quasi-monte-carlo scientific-machine-learning sciml

Last synced: 16 May 2025

https://github.com/AMICI-dev/AMICI

Advanced Multilanguage Interface to CVODES and IDAS

adjoint-sensitivities cvode cvodes differentialequations forward-sensitivities hacktoberfest idas kinetic-modeling mechanistic-models modeling ode parameter-estimation petab pysb python sbml sensitivities sensitivity-analysis simulation systemsbiology

Last synced: 04 May 2025

https://github.com/madsjulia/mads.jl

MADS: Model Analysis & Decision Support

blind-source-separation calibration data-analytics decision-making decision-support high-performance-computing inversion machine-learning matrix-factorization model-analysis model-reduction parameter-estimation sensitivity-analysis uncertainty-quantification

Last synced: 12 Feb 2026

https://github.com/SciML/QuasiMonteCarlo.jl

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

julia parameter-estimation physics-informed-learning quasi-monte-carlo scientific-machine-learning sciml

Last synced: 04 May 2025

https://github.com/kjyv/flobaroid

Framework for dynamical system identification of floating-base rigid body tree structures

dynamics-models excitation identification measurements parameter-estimation robotics urdf yarp

Last synced: 04 Oct 2025

https://github.com/sdu-cfei/modest-py

FMI-compliant Model Estimation in Python

fmi fmu genetic-algorithm optimization parameter-estimation pattern-search

Last synced: 21 Oct 2025

https://github.com/xpsi-group/xpsi

X-PSI: X-ray Pulse Simulation and Inference

astronomical-algorithms astronomy astrophysical-simulation astrophysics likelihood-functions modeling parameter-estimation posterior-sampling sampling statistics-modeling x-ray-astronomy

Last synced: 01 Apr 2026

https://github.com/pmocz/mcmc-python

Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)

astrophysics bayesian-statistics markov-chain mcmc parameter-estimation radial-velocities scientific-computing stochastic-optimization tutorial

Last synced: 12 Apr 2025

https://github.com/geostat-framework/welltestpy

A python-package for handling well based field campaigns.

field-campaigns parameter-estimation python transmissivity

Last synced: 21 Oct 2025

https://github.com/biomass-dev/biomass

A Python Framework for Modeling and Analysis of Signaling Systems

biochemical-networks computational-biology dynamical-systems kinetic-modeling modeling network-analysis ode optimization ordinary-differential-equations parameter-estimation python simulation systems-biology systems-biology-simulation

Last synced: 20 Feb 2026

https://github.com/sticsrpacks/croptimizr

Estimate Crop Models' parameters

crop-model parameter-estimation sensitivity-analysis uncertainty-analysis

Last synced: 29 Oct 2025

https://github.com/iliailmer/parameterestimation.jl

ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.

dynamical-systems julia julia-language mathematica-software mathematical-biology numerical-methods ode-model ordinary-differential-equations parameter-estimation parameter-identifiability symbolic-computation symbolic-numeric-computing

Last synced: 10 Apr 2025

https://github.com/icb-dcm/pesto

PESTO: Parameter EStimation TOolbox, Bioinformatics, btx676, 2017.

matlab optimization parameter-estimation profile-likelihood systems-biology uncertainty-quantification

Last synced: 12 May 2025

https://github.com/asanet/chemeng-solved

Classic problems in chemical engineering solved with matlab

chemical-engineering collocation collocation-method differential-algebraic-equations differential-equations discretization matlab mit-license mpc-control numerical-methods optimization orthogonal parameter-estimation process-control templates

Last synced: 24 Feb 2025

https://github.com/danielvandh/profilelikelihood.jl

Methods for profile likelihood analysis.

confidence-intervals likelihood optimization parameter-estimation statistics

Last synced: 02 Mar 2025

https://github.com/elcorto/psweep

Loop like a pro, make parameter studies fun.

computational-experiment dask dask-distributed dask-jobqueue database pandas parameter-estimation parameter-scan parameter-search parameter-study parameter-sweep python

Last synced: 17 Jun 2025

https://github.com/blakeaw/galibrate

Parameter estimation and model calibration using Genetic Algorithm optimization in Python.

genetic-algorithm model-calibration optimization optimizer parameter-estimation pysb python3 systems-biology

Last synced: 15 May 2025

https://github.com/mauricelanghinrichs/abcdez.jl

Approximate Bayesian Computation (ABC) with differential evolution (de) moves and model evidence (Z) estimates.

approximate-bayesian-computation bayesian-inference julia likelihood-free marginal-likelihood model-evidence model-selection monte-carlo-methods parameter-estimation posterior-probability statistical-inference

Last synced: 13 Mar 2026

https://github.com/vsquicciarini/madys

MADYS: isochronal parameter determination for young stellar and substellar objects

astronomy direct-imaging gaia model-comparison parameter-estimation python sql stellar-astrophysics

Last synced: 27 Feb 2026

https://github.com/openmodelica/omsysident

OpenModelica parameter estimation on top of OMSimulator

fmi parameter-estimation

Last synced: 10 Apr 2025

https://github.com/sinagilassi/pyremot

Python Reactor Modeling Tools

chemical-engineering packed-bed-reactor parameter-estimation process-simulation reaction-enginnering

Last synced: 14 Jul 2025

https://github.com/spatstat/spatstat.model

Sub-package of spatstat containing functionality for parametric modelling and inference

analysis-of-variance cluster-process confidence-intervals cox-process determinantal-point-processes gibbs-process influence leverage model-diagnostics neyman-scott parameter-estimation poisson-process spatial-analysis spatial-modelling spatial-point-processes statistical-inference

Last synced: 21 Oct 2025

https://github.com/ast0815/remu

ReMU - Response Matrix Utilities

binning hypothesis-testing likelihood markov-chain parameter-estimation response-matrix smearing-matrix

Last synced: 30 Apr 2025

https://github.com/ergodicio/tsadar

The Thomson scattering diagnostic offers a method by which to infer plasma parameters such as n_e, T_e. This approach uses the form factor equations to estimate those plasma parameters by fitting to observed Thomson scattering spectra.

automatic-differentiation parameter-estimation plasma-physics

Last synced: 03 Apr 2026

https://github.com/duodenum96/intrinsictimescales.jl

A Julia package to estimate Intrinsic (Neural) Timescales (INTs) from time-series data

bayesian-inference intrinsic-neural-timescales neuroscience neuroscience-methods parameter-estimation

Last synced: 02 Dec 2025

https://github.com/madsjulia/geostatinversion.jl

Geostatistical Inversion

aquifer calibration geostatistics heterogenity high-performance-computing inverse-problems inversion julia mads matrix-factorization parameter-estimation permeability randomization stochastic-process

Last synced: 22 Apr 2025

https://github.com/lolab-msm/gleipnir

Python toolkit for Bayesian parameter inference, model calibration, and model selection using Nested Sampling

bayesian-methods biological-modeling model-selection nested-sampling parameter-estimation python systems-biology

Last synced: 09 May 2025

https://github.com/mechmotum/ollie-optimization

Optimal control and parameter optimization for a maximal height ollie problem

direct-collocation ollie optimization parameter-estimation skateboarding

Last synced: 16 Feb 2026

https://github.com/stevenalfonso/mcmchermes.jl

A package for performing Metropolis Hasting Algorithm.

julia machine-learning markov-chain metropolis-hastings parameter-estimation statistics

Last synced: 03 Sep 2025

https://github.com/bor9/estudiando_el_kay

Apuntes y soluciones de los ejercicios del libro "Fundamentals of Statistical Signal Processing: Estimation Theory" de Steven M. Kay.

latex-document parameter-estimation python3 signal-processing

Last synced: 09 Apr 2025

https://github.com/krproject-tech/parameter_estimation_demo_by_ukf

Parameter estimation Demo by UKF

kalman-filter matlab parameter-estimation

Last synced: 07 Mar 2026

https://github.com/subham-agrawall/airship-parameter-estimation

Nonlinear parameter estimation of airship using modular neural network.

airship deep-learning flight-dynamics neural-networks parameter-estimation

Last synced: 10 Apr 2025

https://github.com/madsjulia/madsjulia.github.io

MADS (Model Analysis & Decision Support) documentation

calibration data-analytics decision-making decision-support documentation example high-performance-computing inverse-problems julia machine-learning mads model-analysis model-reduction parallel-computing parameter-estimation surrogate-analysis tests uncertainty-quantification validation verification

Last synced: 24 Feb 2025

https://github.com/glotaran/timp

TIMP is an R package for fitting superposition models that implements the partitioned variable projection algorithm. The package has been extensively applied to modeling spectroscopy and Fluorescence Lifetime Imaging Microscopy (FLIM) datasets. This is the git managed codebase of the r-forge TIMP project.

parameter-estimation r

Last synced: 18 Feb 2026

https://github.com/mlampros/randomsearchr

Find the optimal parameters of an algorithm using random search in R

parameter-estimation r random-search

Last synced: 08 Feb 2026

https://github.com/isaacsas/sprfittingpaper2023.jl

Library for estimating biophysical properties of antibody-antigen interactions via a spatial, particle model.

parameter-estimation particle-model spr stochastic-chemical-kinetics stochastic-chemical-reactions surface-plasmon-resonance

Last synced: 17 Feb 2026

https://github.com/glotaran/paramgui

paramGUI is a Shiny based R-package for teaching parameter estimation examples inspired by time-resolved spectroscopy

education estimation parameter-estimation r shiny teaching

Last synced: 22 Oct 2025

https://github.com/sybila/pithya-core

ctl model-checker parameter-estimation

Last synced: 10 Aug 2025

https://github.com/mauricelanghinrichs/memocell

Bayesian inference of stochastic cellular processes with and without memory in Python.

bayesian-inference biological-data-analysis biological-modeling dynamical-systems gillespie-algorithm markov-model master-equation model-selection nested-sampling parameter-estimation probabilistic-models python statistical-inference stochastic-models stochastic-processes

Last synced: 13 Apr 2025

https://github.com/sybila/pithya-gui

R based GUI for biodivine

model-checker modeling parameter-estimation

Last synced: 16 Mar 2025

https://github.com/inphyt/quantitative_single_neuron_modeling_competition_2009

Data for the Quantitative Single-Neuron Modeling Competition (2009).

bayesian-inference bayesian-methods bayesian-optimization bayesian-statistics challenge competition computational-neuroscience data electrophysiological-data electrophysiology-data model-calibration modeling neuronal-models neuroscience neuroscience-competition parameter-estimation simulation simulation-modeling single-neuron-model uncertainty-quantification

Last synced: 25 Feb 2026

https://github.com/kkovlakas/gaussfree

Tools for non-Gaussian statistics

beta-distribution binomial-distribution docs non-gaussian parameter-estimation python3 python310 python311 python312 python36 python37 python38 python39 scientific-computing unimodal-beta unit-testing

Last synced: 01 Feb 2026

https://github.com/aashrafh/cmp402

Solution of Machine Intelligence (CMP402) labs

a-star aima aima-book alpha-beta-pruning bfs dfs expectimax greedy-best-first-search heuristics machine-intelligence minimax parameter-estimation python qlearning sarsa ucs value-iteration

Last synced: 31 Mar 2025

https://github.com/lross123/statistical-modelling

julia parameter-estimation parameter-identifiability statistical-modelling stochastic-processes

Last synced: 02 Nov 2025

https://github.com/k1m9l/manifold_constrained_gaussian_process_inference

Julia implementation of the MAGI algorithm for Bayesian parameter estimation in dynamical systems

bayesian-inference differential-equations gaussian-processes julia machine-learning parameter-estimation sciml

Last synced: 30 Jun 2025

https://github.com/inphyt/quantitative_single_neuron_modeling_competition_2007

Data for the Quantitative Single-Neuron Modeling Competition (2007).

bayesian-inference bayesian-methods bayesian-optimization bayesian-statistics challenge competition computational-neuroscience data electrophysiological-data electrophysiology model-calibration modeling neuronal-models neuroscience neuroscience-competition parameter-estimation simulation simulation-modeling single-neuron-model uncertainty-quantification

Last synced: 26 Jul 2025

https://github.com/ahzyuan/torchmeter

TorchMeter⏲️: Your all-in-one tool for Pytorch model analysis, measuring Params, FLOPs/MACs(aka. MACC or MADD), Memory cost, Inference time and Throughput! ! 🚀

calculation-estimation inference-throughput memory-estimation model-analysis parameter-estimation pytorch

Last synced: 27 Jul 2025