Projects in Awesome Lists tagged with parameter-estimation

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: 01 Oct 2024

https://github.com/mackelab/sbi

Simulation-based inference toolkit

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

Last synced: 24 Aug 2024

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: 02 Aug 2024

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: 03 Aug 2024

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

Probabilistic Inference on Noisy Time Series

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

Last synced: 02 Aug 2024

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

python Parameter EStimation TOolbox

hacktoberfest optimization parameter-estimation python systems-biology

Last synced: 09 Aug 2024

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: 31 Jul 2024

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: 04 Aug 2024

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: 08 Aug 2024

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: 02 Aug 2024

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: 02 Aug 2024

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

Fast and automatic structural identifiability software for ODE systems

differentialequations julia parameter-estimation structural-identifiability

Last synced: 02 Aug 2024

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: 02 Aug 2024

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

FMI-compliant Model Estimation in Python

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

Last synced: 02 Aug 2024

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: 29 Sep 2024