IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
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Updated
Jun 30, 2023 - Python
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
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
AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control
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.
a little library to help me with things involving Koopman operators
Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations
Deep neural networks have garnered tremendous excitement in recent years thanks to their superior learning capacity in the presence of abundant data resources. However, collecting an exhaustive dataset covering all possible scenarios is often slow, expensive, and even impractical. The goal of this project is to devise a new learning framework th…
Non-intrusive reduced-order modeling with geometry-informed snapshots. Current based registration is applied to compute the diffeomorphism between snapshots.
Five-point stencil Convolutional Neural Networks (FCNNs)
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
Modeling Heat Conduction with Two-Dissipative Variables: A Mechanism-Data Fusion Method
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
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