parameter-estimation

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casadi /casadi

Star1.9k

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.

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

UpdatedJul 2, 2025
C++

sbi-dev /sbi

Star706

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.

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

UpdatedJul 2, 2025
Python

ICB-DCM /pyPESTO

Star249

python Parameter EStimation TOolbox

python optimization systems-biology parameter-estimation hacktoberfest

UpdatedJun 24, 2025
Python

pints-team /pints

Star238

Probabilistic Inference on Noisy Time Series

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

UpdatedFeb 10, 2025
Python

undark-lab /swyft

Star164

A system for scientific simulation-based inference at scale.

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

UpdatedMar 30, 2024
Jupyter Notebook

usgs /pestpp

Star152

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

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

UpdatedJun 19, 2025
C++

baggepinnen /ControlSystemIdentification.jl

Star146

System Identification toolbox, compatible with ControlSystems.jl

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

UpdatedJun 27, 2025
Julia

openmole /openmole

Star145

Workflow engine for exploration of simulation models using high throughput computing

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

UpdatedJul 2, 2025
Scala

baggepinnen /LowLevelParticleFilters.jl

Star132

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

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

UpdatedJun 12, 2025
Julia

weijie-chen /Basic-Statistics-With-Python

Star122

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.

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

UpdatedJun 9, 2024
Jupyter Notebook

SciML /StructuralIdentifiability.jl

Sponsor

Star122

Fast and automatic structural identifiability software for ODE systems

julia parameter-estimation differentialequations structural-identifiability

UpdatedJul 1, 2025
Julia

AMICI-dev /AMICI

Star120

High-performance sensitivity analysis for large ordinary differential equation models

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

UpdatedJul 2, 2025
C++

SciML /QuasiMonteCarlo.jl

Sponsor

Star113

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 quasi-monte-carlo scientific-machine-learning sciml physics-informed-learning