567 skills found · Page 1 of 19
google-research / TorchsdeDifferentiable SDE solvers with GPU support and efficient sensitivity analysis.
SALib / SALibSensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.
kazuto1011 / Grad Cam PytorchPyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
KovaaK / SensitivityMatcherScript that can be used to convert your mouse sensitivity between different 3D games.
SciML / SciMLSensitivity.jlA component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
attack68 / RateslibA fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full curveset construction with market standard optimisers and automatic differentiation (AD) and risk sensitivity calculations including delta and cross-gamma.
simetenn / UncertainpyUncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
usgs / Pestpptools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
MatthewKuKanich / Flipper RadarTransform your Flipper Zero into a radar scanner using the RCWL-0516 module. Detect human movement, adjust sensitivity, get real-time alerts, and enjoy bi-directional detection. Control with ease, toggle sound alerts, and explore radar technology!
scottshambaugh / MonacoQuantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
QilinPTA / QilinQilin: A New Framework for Supporting Fine-Grained Context-Sensitivity in Java Pointer Analysis
equinor / ErtERT - Ensemble based Reservoir Tool - is designed for running ensembles of dynamical models such as reservoir models, in order to do sensitivity analysis and data assimilation. ERT supports data assimilation using the Ensemble Smoother (ES) and Ensemble Smoother with Multiple Data Assimilation (ES-MDA).
Jonas-Nicodemus / PINNs Based MPCWe discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-informed neural networks (PINNs) are a promising tool to approximate (partial) differential equations. PINNs are not suited for control tasks in their original form since they are not designed to handle variable control actions or variable initial values. We thus present the idea of enhancing PINNs by adding control actions and initial conditions as additional network inputs. The high-dimensional input space is subsequently reduced via a sampling strategy and a zero-hold assumption. This strategy enables the controller design based on a PINN as an approximation of the underlying system dynamics. The additional benefit is that the sensitivities are easily computed via automatic differentiation, thus leading to efficient gradient-based algorithms. Finally, we present our results using our PINN-based MPC to solve a tracking problem for a complex mechanical system, a multi-link manipulator.
AMICI-dev / AMICIHigh-performance sensitivity analysis for large ordinary differential equation models
RachanaJayaram / Image Encryption Chaos MapsThis is a project in cryptography that involves implementing image encryption using various chaos maps and comparing their merits based on key sensitivity,
namhoonlee / Snip PublicSNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
mil-ad / SnipPytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.
carloscinelli / SensemakrSuite of sensitivity analysis tools for OLS
rohanpadhye / VascoAn inter-procedural data-flow analysis framework using value-based context sensitivity
Whisperrr / SensitivityRandomizerRandomize mouse sensitivity over time.
