NBoulle / RationalNets
Code for the paper "Rational neural networks", NeurIPS 2020
☆28Updated 4 years ago
Alternatives and similar repositories for RationalNets:
Users that are interested in RationalNets are comparing it to the libraries listed below
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Neural Galerkin☆15Updated last year
- ☆15Updated 6 months ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆18Updated 2 years ago
- ☆11Updated 3 years ago
- ☆37Updated 2 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- ☆19Updated 2 years ago
- Multiwavelets-based operator model☆58Updated 2 years ago
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- ☆27Updated 8 months ago
- ☆20Updated 3 months ago
- ☆26Updated 3 years ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆25Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 3 years ago
- ☆13Updated last year
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Spectral Neural Operator☆75Updated last year
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆19Updated 6 months ago
- ☆10Updated 5 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated 8 months ago
- Practicum on Supervised Learning in Function Spaces☆32Updated 2 years ago
- ☆10Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆33Updated 3 years ago
- ☆35Updated last year
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆18Updated 3 months ago