☆21Dec 8, 2022Updated 3 years ago
Alternatives and similar repositories for LED
Users that are interested in LED are comparing it to the libraries listed below
Sorting:
- Framework to learn effective dynamics and couple a macro scale simulator with a fast neural network latent propagator.☆11Apr 19, 2023Updated 2 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆20Sep 14, 2022Updated 3 years ago
- ☆40Jul 20, 2023Updated 2 years ago
- ☆17Aug 6, 2024Updated last year
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆31Dec 4, 2024Updated last year
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- ☆15Nov 20, 2023Updated 2 years ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆98Mar 24, 2023Updated 2 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Sep 7, 2023Updated 2 years ago
- Official code for UnICORNN (ICML 2021)☆28Oct 1, 2021Updated 4 years ago
- ☆50Nov 6, 2023Updated 2 years ago
- Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.☆15Jan 20, 2026Updated 2 months ago
- ☆13Feb 14, 2024Updated 2 years ago
- ☆13Mar 11, 2025Updated last year
- Deep learning framework for model reduction of dynamical systems☆21Dec 31, 2020Updated 5 years ago
- Quasi-geostrophic spectral solver in PyTorch☆18Sep 18, 2022Updated 3 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆15Nov 8, 2021Updated 4 years ago
- PDE Preserved Neural Network☆58May 15, 2025Updated 10 months ago
- Code for the blog post☆12Jan 15, 2021Updated 5 years ago
- ☆14Jan 29, 2021Updated 5 years ago
- ☆15Mar 3, 2022Updated 4 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆28Apr 20, 2024Updated last year
- ☆14Jan 22, 2022Updated 4 years ago
- Python 2D Navier-Stokes solver☆28Aug 4, 2025Updated 7 months ago
- ☆74Aug 31, 2020Updated 5 years ago
- ☆14Feb 16, 2026Updated last month
- Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems☆16Jun 15, 2021Updated 4 years ago
- Guidelines for giving a bad scientific talk☆13Apr 14, 2022Updated 3 years ago
- EvoDynamic seeks to evolve and develop suitable discrete dynamic models of self-organizing systems based on local interactions.☆20May 9, 2025Updated 10 months ago
- ☆19May 25, 2024Updated last year
- Supporting code for "Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders"☆21Jan 6, 2021Updated 5 years ago
- ☆19Apr 5, 2024Updated last year
- ☆24Oct 21, 2024Updated last year
- Mathematical interdisciplinary toolbox for helping engineers, researchers and scientist☆20Mar 6, 2025Updated last year
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆25Aug 12, 2022Updated 3 years ago
- A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.☆47Jul 25, 2024Updated last year
- Define and generate waveforms to output with your favorite DAC☆12Jan 2, 2019Updated 7 years ago
- Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023☆25Oct 12, 2023Updated 2 years ago
- Hierarchical multi-system training framework for dynamical systems reconstruction (from Brenner et al. 2025 ICLR)☆18Mar 7, 2025Updated last year