alirezayazdani1 / SBINNsLinks
☆36Updated 3 years ago
Alternatives and similar repositories for SBINNs
Users that are interested in SBINNs are comparing it to the libraries listed below
Sorting:
- SBINN: Systems-biology informed neural network☆34Updated 2 months ago
- Biologically-informed neural networks☆28Updated 4 years ago
- ☆21Updated 4 years ago
- One-Shot Transfer Learning of PINNs☆11Updated last year
- Stiff Neural Ordinary Differential Equations☆34Updated last year
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆59Updated 3 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- ☆34Updated 4 years ago
- Neural Galerkin☆16Updated last year
- ☆20Updated 3 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- ☆47Updated 2 years ago
- ☆41Updated 5 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- ☆22Updated 2 weeks ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Code for "Learning differential equation models from\\ stochastic agent-based model simulations" by John Nardini, Ruth Baker, Mat Simpson…☆12Updated 2 years ago
- ☆21Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated last month
- ☆18Updated 4 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- A simple Linux command-line utility which submits a job to one of the multiple GPU servers☆10Updated 9 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- Encoding physics to learn reaction-diffusion processes☆98Updated last year
- Physics-Informed Neural Networks Trained with Particle Swarm Optimization☆19Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆62Updated last month
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆19Updated 7 months ago
- ☆117Updated 5 years ago