• SINDy

• Referenced in 29 articles [sw30277]
• dynamics (SINDy) is a recently proposed data-driven modelling framework that uses sparse regression techniques...

• np

• Referenced in 100 articles [sw10543]
• mean regression models and parametric quantile regression models, among others. The np package focuses ... discrete, and categorical data often found in applied settings. Data-driven methods of bandwidth selection...

• TPVM

• Referenced in 9 articles [sw03347]
• message-passing model; (b) a data-driven instantiation model that enables straightforward specification of computation...

• SCAPE

• Referenced in 27 articles [sw19408]
• PEople)---a data-driven method for building a human shape model that spans variation...

• 3DMatch

• Referenced in 6 articles [sw32561]
• this paper, we present 3DMatch, a data-driven model that learns a local volumetric patch...

• PyDMD

• Referenced in 4 articles [sw38466]
• uses Dynamic Mode Decomposition for a data-driven model simplification based on spatiotemporal coherent structures ... model reduction algorithm developed by Schmid (see ”Dynamic mode decomposition of numerical and experimental data ... high-fidelity measurements, like experimental data and numerical simulations, so it is an equation-free ... system. See Kutz (”Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems”) for a comprehensive...

• CANN

• Referenced in 4 articles [sw41756]
• general approach to predictive data-driven constitutive modeling by deep learning. In this paper ... novel machine learning architecture for data-driven modeling of the mechanical constitutive behavior of materials...

• MOSSFARM

• Referenced in 2 articles [sw02750]
• structure selection are very important for data-driven modeling, data mining, and system identification tasks...

• MLMOD

• Referenced in 1 article [sw39711]
• MLMOD Package: Machine Learning Methods for Data-Driven Modeling in LAMMPS. We discuss a software ... package for incorporating into simulations data-driven models trained using machine learning methods. These...

• CAPUSHE

• Referenced in 55 articles [sw13365]
• Slope heuristics: overview and implementation. Model selection is a general paradigm which includes many statistical ... have proposed a promising data-driven method to calibrate such criteria whose penalties are known...

• svars

• Referenced in 1 article [sw38309]
• Data-Driven Identification of SVAR Models. Implements data-driven identification methods for structural vector autoregressive ... /jss.v097.i05>. Based on an existing VAR model object (provided by e.g. VAR() from the ’vars ... structural impact matrix is obtained via data-driven identification techniques (i.e. changes in volatility (Rigobon...

• decon

• Referenced in 20 articles [sw11088]
• function from contaminated data; (2) nonparametric regression model with errors-in-variables. The R functions ... data to the deconvolution kernel estimation. Several methods for the selection of the data-driven ... Deconvolution estimation in measurement error models: The R package decon. Journal of Statistical Software...

• BioPreDyn-bench

• Referenced in 2 articles [sw29329]
• suite of benchmark problems for dynamic modelling in systems biology. BioPreDyn-Bench has been developed ... BioPreDyn partners are developing data-driven computational models to analyze multi-scale biological networks, creating...

• Distil

• Referenced in 1 article [sw37878]
• Distil: A Mixed-Initiative Model Discovery System for Subject Matter Experts. We present in-progress ... with subject matter expertise to generate data-driven models using an interactive analytic question first...

• CoPro

• Referenced in 1 article [sw37594]
• CoPro: a data-driven modelling framework for conflict risk projections. In light of predicted shifts...

• ShapeNet

• Referenced in 15 articles [sw35059]
• providing many semantic annotations for each 3D model such as consistent rigid alignments, parts ... interface to enable data visualization of object attributes, promote data-driven geometric analysis, and provide ... indexed more than 3,000,000 models, 220,000 models out of which are classified...

• MAP123-EPF

• Referenced in 2 articles [sw41693]
• mechanistic-based data-driven approach for numerical elastoplastic modeling at finite strain. Direct numerical simulation ... models is an active research topic. In this paper, a mechanistic-based, data-driven computational ... Harnessing the physical insights from the existing model-based plasticity theory, multiplicative decomposition of deformation...

• someKfwer

• Referenced in 6 articles [sw06069]
• testing the hypotheses along a (possibly data-driven) order until a suitable number ... values can arise from any linear model in a parametric or nonparametric setting. The approach ... computationally undemanding, but also the data-driven order enhances power when the sample size...

• 3DWofE

• Referenced in 1 article [sw39031]
• bodies by developing a data-driven prospectivity modeling method called weights of evidence. This software...

• emgr

• Referenced in 13 articles [sw07554]
• have wide-spread use, for example in: model reduction, decentralized control, optimal placement, sensitivity analysis ... nonlinear systems due to their data-driven computation. The empirical Gramian framework is a compact...