81 skills found · Page 1 of 3
lmfit / UncertaintiesTransparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
JuliaPhysics / Measurements.jlError propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.
minwoo0611 / MA LIOAsynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
JokerJohn / PALoc[TMECH'2024] PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation
SURGroup / UQpyUQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
JokerJohn / MS Mapping[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
baggepinnen / MonteCarloMeasurements.jlPropagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
zhangganlin / GlobalSfMpy[CVPR 2023] "Revisiting Rotation Averaging: Uncertainties and Robust Losses" by Ganlin Zhang, Viktor Larsson and Daniel Barath
SciML / PolyChaos.jlA Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.
tjiiv-cprg / MonoRUn[CVPR 2021] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
janisgp / Sampling Free Epistemic UncertaintyCode for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"
sandialabs / UQTkSandia Uncertainty Quantification Toolkit
pygpc-polynomial-chaos / PygpcA Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
nicoco007 / Propagation Of Uncertainty CalculatorCalculate the propagation of uncertainty of a function quickly, easily, and with explanations!
DLR-MI / UTrackMulti-Object Tracking with Uncertain Detections [ECCV 2024 UnCV]
nasa / Prog AlgsThe Prognostic Algorithm Package is a python framework for model-based prognostics (computation of remaining useful life) of engineering systems, and provides a set of algorithms for state estimation and prediction, including uncertainty propagation. The algorithms take as inputs prognostic models (from NASA's Prognostics Model Package), and perform estimation and prediction functions. The library allows the rapid development of prognostics solutions for given models of components and systems. Different algorithms can be easily swapped to do comparative studies and evaluations of different algorithms to select the best for the application at hand.
luca-fiorito-11 / SandySampling nuclear data and uncertainty
r-quantities / ErrorsUncertainty Propagation for R Vectors
dacelib / DaceDifferential Algebra Computational Toolbox
nrc-cnrc / MetroloPyTools for uncertainty propagation and measurement unit conversion — Outils pour la propagation des incertitudes et la conversion d'unités de mesure
