#

sensitivity-analysis

Here are 143 public repositories matching this topic...

kundajelab / deeplift

Public facing deeplift repo

sensitivity-analysis saliency-map interpretability guided-backpropagation interpretable-deep-learning deeplift integrated-gradients

Updated Apr 28, 2022
Python

SALib / SALib

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

python numpy uncertainty uncertainty-quantification sensitivity-analysis morris sensitivity-analysis-library sobol global-sensitivity-analysis salib joss

Updated May 15, 2022
Python

EmuKit / emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

python machine-learning emulation decision-making uncertainty-quantification sensitivity-analysis bayesian-optimization experimental-design bayesian-quadrature multi-fidelity

Updated May 10, 2022
Python

chaospy

jonathf / chaospy

Chaospy - Toolbox for performing uncertainty quantification.

uncertainty-quantification sensitivity-analysis sparse-grids variance-reduction gaussian-quadrature

Updated Apr 2, 2022
Python

1202kbs / Understanding-NN

Tensorflow tutorial for various Deep Neural Network visualization techniques

tutorial computer-vision tensorflow sensitivity-analysis interpretable-deep-learning lrp deep-taylor-decomposition

Updated Aug 22, 2020
Jupyter Notebook

LLNL / sundials

Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcome for bug fixes and minor changes.

hpc solver parallel-computing scientific-computing high-performance-computing sensitivity-analysis time-integration ode-solver dae-solver nonlinear-equation-solver math-physics radiuss

Updated May 13, 2022
C

SciML / DiffEqSensitivity.jl

Sponsor

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.

ode dde differentialequations sde dae sensitivity-analysis hacktoberfest adjoint backpropogation neural-ode scientific-machine-learning neural-sde sciml

Updated May 10, 2022
Julia

simetenn / uncertainpy

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

python neuroscience uncertainty-quantification sensitivity-analysis computational-modeling

Updated Jun 18, 2021
Python

SciML / Sundials.jl

Sponsor

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner

julia clang ode ida differential-equations ordinary-differential-equations differentialequations dae sundials cvode sensitivity-analysis hacktoberfest differential-algebraic-equations kinsol idas scientific-machine-learning hybrid-differential-equation arkode sundials-libraries sciml

Updated May 15, 2022
Julia

fancompute / angler

Open

E fields same shape as eps_r

twhughes commented Dec 3, 2018

Describe the bug
If eps_r is shape (N,) then the fields solved are shape (N,1)

Either:

disallow 1-D eps_r arrays
Or:
keep track of eps_r shape and reshape the fields to match.

Read more

enhancement good first issue

Open

Flexible current sources

Open

Animate Permittivity During Run

biosteam

BioSTEAMDevelopmentGroup / biosteam

Open

Anaconda Installation

yoelcortes commented Jan 16, 2021

I've received requests for setting up a "conda" installation for BioSTEAM. This is not a priority for now, but any help (resources or direct contributions) would be really helpful!

Thanks :)

Read more

enhancement good first issue

Open

Missing essential unit operation models

3

madsjulia / Mads.jl

MADS: Model Analysis & Decision Support

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

Updated May 12, 2022
HTML

usgs / pestpp

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

Updated Mar 30, 2022
C++

AMICI

AMICI-dev / AMICI

Open

Lint petab models

FFroehlich commented Mar 1, 2022

CLI already lints, but programmatic interface doesn't lint by default. Model linting should definitely be performed when import fails to avoid having to reimplement validation checks in amici and provide helpful error messages.

Read more

enhancement good first issue python PEtab

Open

Improper handling of reserved symbols in SBML import

Open

Extend unit tests to diagnosis variables

3

Find more good first issues

grinsfem / grins

Multiphysics Finite Element package built on libMesh

hpc amr fem multiphysics sensitivity-analysis libmesh adjoints quantities-of-interest

Updated May 12, 2022
C++

cossan-working-group / OpenCossan

OpenCossan is an open and free toolbox for uncertainty quantification and management.

optimization reliability monte-carlo-simulation uncertainty-quantification sensitivity-analysis

Updated Dec 21, 2021
MATLAB

MASTmultiphysics / mast-multiphysics

Multidisciplinary-design Adaptation and Sensitivity Toolkit (MAST) - Sensitivity-enabled multiphysics FEA for design

finite-element-analysis sensitivity-analysis topology-optimization fluid-structure-interaction aeroelasticity thermoelasticity

Updated Nov 26, 2021
C++

mathLab / ATHENA

ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis

sensitivity-analysis model-order-reduction parameter-space-reduction active-subspaces kernel-active-subspaces nonlinear-level-set-learning

Updated Apr 12, 2022
Python

mcuntz / jams_fortran

A collection of general Fortran modules in the categories Computational, Date and Time, Input / Output, Math / Numerics, Screening, Sensitivity Analysis and Optimising / Fitting, and Miscellaneous.

math input optimization numeric fitting output screening date-time sensitivity-analysis

Updated Feb 3, 2022
Fortran

asemic-horizon / stanton

Greenbox: Excel-based Monte Carlo three-point sensitivity analysis

spreadsheet sensitivity-analysis model-emulation

Updated Dec 30, 2018
Python

rballester / ttrecipes

Metamodeling, sensitivity analysis and visualization using the tensor train format

visualization sensitivity-analysis anova tensor-decomposition tensor-train sobol-method tensor-approximation

Updated May 23, 2019
Python

dacelib / dace

Differential Algebra Computational Toolbox

automatic-differentiation numerical-methods sensitivity-analysis uncertainty-propagation differential-algebra dace

Updated Apr 11, 2022
C++

olekssy / evkit

A library for SEC data extraction, equity valuation, discovery of mispriced stocks

finance investment algorithmic-trading sensitivity-analysis dcf computational-investments capital-markets equity-valuation

Updated Sep 5, 2020
Python

monaco

scottshambaugh / monaco

Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo framework

python data-science statistics simulation monte-carlo scientific-computing monaco uncertainty-quantification sensitivity-analysis uncertainty-analysis

Updated May 11, 2022
Python

frankaging / BERT_LRP

On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification

decision sentiment-analysis sensitivity-analysis bert saliency-detection ready-to-use mutli-gpu attribution-methods attribution-extraction relevance-scores gradient-hooks

Updated May 16, 2021
Jupyter Notebook

adhiraiyan / radnet

U-Net for biomedical image segmentation

pytorch mri-images sensitivity-analysis tensorboard-visualizations medical-image-processing u-net ct-scans cnn-visualization interpretable-network pytorch-graphs tensorboard-pytorch

Updated Jul 17, 2021
Python

csdms / dakotathon

A Python API and BMI for the Dakota iterative systems analysis toolkit

python uncertainty-quantification sensitivity-analysis bmi csdms dakota

Updated Apr 13, 2020
Python

sensiPhy

paternogbc / sensiPhy

R package to perform sensitivity analysis for comparative methods

cran r evolution phylogenetics ecology sensitivity-analysis comparative-methods

Updated Jun 10, 2020
R

SticsRPacks / CroptimizR

A package for parameter estimation, uncertainty / sensitivity analysis for crop models

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

Updated May 4, 2022
R

etheban / OpenCossan

OpenCossan represents the core of COSSAN software. All the algorithms and methods have been coded in a matlab toolbox allowing numerical analysis, reliability analysis, simulation, sensitivity, optimization, robust design and much more. Released under the LGPL license, the engine can be used, modified and redistributed free of charge. It is supported by an extensive documentation and tutorials.

simulation reliability monte-carlo-simulation robust-optimization uncertainty-quantification sensitivity-analysis

Updated Apr 17, 2018
MATLAB

Improve this page

Add a description, image, and links to the sensitivity-analysis topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the sensitivity-analysis topic, visit your repo's landing page and select "manage topics."