The Wayback Machine - https://web.archive.org/web/20200930222235/https://github.com/topics/sensitivity-analysis

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sensitivity-analysis

Here are 93 public repositories matching this topic...

kundajelab / deeplift

Star

Public facing deeplift repo

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

Updated Aug 18, 2020
Python

SALib / SALib

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Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

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

Updated Sep 30, 2020
Python

amzn / emukit

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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 Sep 22, 2020
Python

chaospy

jonathf / chaospy

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Chaospy - Toolbox for performing uncertainty quantification.

uncertainty-quantification sensitivity-analysis sparse-grids variance-reduction gaussian-quadrature polynomial-chaos-expansion

Updated Sep 20, 2020
Python

1202kbs / Understanding-NN

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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

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SUNDIALS is a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. This is a mirror of current releases, and development will move here eventually. Pull requests are welcome for bug fixes and minor changes.

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

Updated Sep 24, 2020
C

SciML / Sundials.jl

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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 differential-algebraic-equations kinsol idas scientific-machine-learning hybird-differential-equations arkode sundials-libraries sciml

Updated Aug 31, 2020
Julia

simetenn / uncertainpy

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

python neuroscience uncertainty-quantification sensitivity-analysis computational-modeling

Updated Sep 12, 2020
Python

fancompute / angler

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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

madsjulia / Mads.jl

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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 Sep 12, 2020
Julia

biosteam

BioSTEAMDevelopmentGroup / biosteam

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Open

Missing essential unit operation models

yoelcortes commented Dec 9, 2019

Any help in developing the following essential unit operations would be greatly appreciated:

Compressor
Turbine
~~Fenske-Gilliland-Underwood shortcut column~~ (added 3/22/2020)
~~Rigorous heat exchanger for heat integration~~ (added 6/6/2020)
Multi-component distillation models (preferably MESH equation based)
Kinetic fermentation models
~Centrifuge modeled by liquid-liquid equi

Read more

good first issue

SciML / DiffEqSensitivity.jl

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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 adjoint backpropogation neural-ode scientific-machine-learning neural-sde sciml

Updated Sep 30, 2020
Julia

grinsfem / grins

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Multiphysics Finite Element package built on libMesh

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

Updated Jul 18, 2020
C++

AMICI

AMICI-dev / AMICI

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Open

Extend unit tests to diagnosis variables

3

paulstapor commented Jul 16, 2020

Currently, values for the llh, gradient, the computed trajectories of states and observables, or the sensitivities are checked in unit tests.
Unfortunately, some bugs, such as incorrect Jacobians or switched minus signs in the Newton solver, will not necessarily affect those quantities. However, they will substantially impact solver performance, by causing way too many steps to be taken. Hence, w

Read more

enhancement good first issue new python

Open

PEtab import simulation: Accept string-type "inf" as time points

1

Open

Use symbolic comparison when writing header files in ode_export

Find more good first issues →

usgs / pestpp

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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 non-instrusive global-sensitivity-analysis

Updated Sep 22, 2020
C++

MASTmultiphysics / mast-multiphysics

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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 Sep 22, 2020
C++

asemic-horizon / stanton

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

spreadsheet sensitivity-analysis model-emulation

Updated Dec 30, 2018
Python

cossan-working-group / OpenCossan

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

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

Updated Aug 3, 2020
MATLAB

rballester / ttrecipes

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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

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Differential Algebra Computational Toolbox

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

Updated Dec 9, 2019
C++

adhiraiyan / radnet

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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 Jan 23, 2019
Python

sensiPhy

paternogbc / sensiPhy

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R package to perform sensitivity analysis for comparative methods

cran r evolution phylogenetics ecology sensitivity-analysis comparative-methods

Updated Jun 10, 2020
R

csdms / dakotathon

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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

etheban / OpenCossan

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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

basilwong / simple-sundials

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SUNDIALS: For those starting to learn to use the CVODE package. Also contains examples regarding more complex development with SUNDIALS libraries.

parallel mpi ode sundials cvode sensitivity-analysis parallel-programming mpich2 cvodes stiff-systems kinsol rootfinding

Updated Sep 20, 2018
C++

mathLab / ATHENA

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

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

Updated Jul 27, 2020
Python

okadalabipr / biomass

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A Python Framework for Modeling and Analysis of Signaling Systems

python simulation optimization modeling systems-biology computational-biology sensitivity-analysis paramter-estimation

Updated Sep 30, 2020
Python

ogru / DGSA

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An R implementation of the DGSA method

sensitivity-analysis

Updated Dec 8, 2017
R

lialkaas / evkit

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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

NiMlr / linear-programming

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MATLAB implementations of the simplex method, dual simplex method and sensitivity analysis.

matlab linear-programming sensitivity-analysis simplex-algorithm matlab-implementations linear-optimization simplex-method

Updated Aug 13, 2019
MATLAB

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