cselab / LED
☆19Updated last year
Related projects ⓘ
Alternatives and complementary repositories for LED
- ☆14Updated 3 months ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆17Updated 2 years ago
- ☆34Updated last year
- ☆21Updated 4 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- ☆14Updated 3 years ago
- ☆11Updated 3 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆26Updated 3 years ago
- ☆33Updated 3 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆31Updated 2 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆14Updated last year
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆36Updated 3 years ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆22Updated 6 months ago
- ☆11Updated 3 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 3 years ago
- ☆11Updated last year
- Neural Galerkin☆14Updated last year
- ☆25Updated 6 years ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆47Updated last year
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆24Updated 3 years ago
- ☆27Updated 5 months ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆31Updated last year
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆29Updated 3 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆23Updated last year
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆17Updated 2 years ago
- ☆37Updated last year
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting☆39Updated 11 months ago