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☆35Updated 2 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 2 years ago
- ☆10Updated 2 years ago
- ☆30Updated 7 years ago
- ☆21Updated 4 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Updated 4 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Updated last year
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆26Updated 3 years ago
- ☆73Updated 5 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆25Updated 7 years ago
- ☆29Updated 2 years ago
- ☆21Updated 2 years ago
- ☆28Updated 4 years ago
- ☆11Updated 4 years ago
- ☆33Updated last year
- Reaction diffusion system prediction based on convolutional neural network☆17Updated 2 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- Python trust-region subproblem solvers for nonlinear optimization☆28Updated 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
- ☆30Updated 3 years ago
- Discovering Conservation Laws using Optimal Transport and Manifold Learning☆20Updated last year
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆30Updated 3 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- generative neural network trained with physics knowledge☆14Updated 4 years ago