DENG-MIT / StiffNet-BenchmarkLinks
Benchmark for learning stiff problems using physics-informed machine learning
☆12Updated 3 years ago
Alternatives and similar repositories for StiffNet-Benchmark
Users that are interested in StiffNet-Benchmark are comparing it to the libraries listed below
Sorting:
- Stiff Neural Ordinary Differential Equations☆34Updated 2 years ago
- ☆10Updated 2 years ago
- ☆21Updated 4 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆12Updated 2 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 5 years ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Updated 3 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Efficient Differentiable n-d PDE solvers in JAX.☆40Updated 7 months ago
- generative neural network trained with physics knowledge☆14Updated 4 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- ☆29Updated 7 years ago
- ☆11Updated 4 years ago
- ☆21Updated 2 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆26Updated last year
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆15Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆24Updated 6 years ago
- ☆17Updated 6 months ago
- ☆14Updated last year
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Updated 11 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 2 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆20Updated 4 years ago
- A Python library for training neural ODEs.☆23Updated 4 months ago
- Python Library for Generalized Gaussian Process Modeling☆24Updated 2 months ago
- ☆30Updated 2 years ago
- A software package for flexible HPC GPs☆16Updated this week