data-driven-model

#计算机科学#PDE-Net: Learning PDEs from Data

#计算机科学#IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.

Creating animation sequences between sparse key frames using motion phase features.

Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation

Data-driven reduced order modeling for nonlinear dynamical systems

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation

AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)

Python-based object-oriented discrete-event simulation tool for complex, data-driven modeling

Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" by S. A. McQuarrie, C. Huang, and K. E. Willcox.

#计算机科学#AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control

#计算机科学#Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sourc...

#计算机科学#Supplementary materials to the lecture data driven audio signal processing

[CVPR 2025] Pytorch implementation of the paper "Hearing Anywhere in Any Environment"

#计算机科学#Matlab implementation of online and window dynamic mode decomposition algorithms

a little library to help me with things involving Koopman operators

This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation

Constructing linearizing transformations for reduced-order modeling of nonlinear dynamical systems

Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations

Fourier Feature Character Animation Controller Demo

Non-intrusive reduced-order modeling with geometry-informed snapshots. Current based registration is applied to compute the diffeomorphism between snapshots.