amazon-science / probconservLinks
Datasets and code for results presented in the ProbConserv paper
☆53Updated last year
Alternatives and similar repositories for probconserv
Users that are interested in probconserv are comparing it to the libraries listed below
Sorting:
- Datasets and code for results presented in the BOON paper☆44Updated 2 years ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆59Updated 3 weeks ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆75Updated last month
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year
- Spectral Neural Operator☆79Updated last year
- ☆26Updated 11 months ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆51Updated 2 years ago
- Distributed Fourier Neural Operators☆30Updated 2 years ago
- Applications of PINOs☆126Updated 2 years ago
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- Solving Inverse Physics Problems with Score Matching☆27Updated last year
- Code of ICML paper arxiv.org/abs/2302.08105☆14Updated 2 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆40Updated 7 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- Bootcamp notebooks☆55Updated last year
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆115Updated 3 years ago
- ☆41Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆177Updated last month
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆38Updated 2 years ago
- Code for the paper Universal Physics Transformers☆116Updated 4 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆44Updated last year
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last year
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Here you find the Spectral Operator Learning Under construcTION☆20Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated last year
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆52Updated 2 years ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆31Updated 3 months ago