pswpswpsw / paper-nifLinks
☆39Updated 2 years ago
Alternatives and similar repositories for paper-nif
Users that are interested in paper-nif are comparing it to the libraries listed below
Sorting:
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- The public repository about our joint FINN research project☆38Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Turbulent flow network source code☆70Updated 7 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆36Updated 7 months ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 7 years ago
- ☆45Updated 2 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆72Updated 6 months ago
- ☆28Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 8 months ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- ☆49Updated last year
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- ☆13Updated 5 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- ☆35Updated 2 years ago
- ☆46Updated 7 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 9 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month
- ☆55Updated 3 years ago
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆45Updated this week
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated last year
- Spectral Neural Operator☆78Updated last year
- A Python library for training neural ODEs.☆25Updated 8 months ago
- a multiresolution convolutional autoencoder architecture☆23Updated 4 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆82Updated 5 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆98Updated 10 months ago