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
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- The public repository about our joint FINN research project☆37Updated 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
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Updated 9 months ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated 2 years ago
- ☆45Updated 3 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."☆75Updated 8 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 10 months ago
- Turbulent flow network source code☆71Updated 9 months ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆47Updated 4 months ago
- ☆29Updated 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
- ☆47Updated 9 months ago
- Distributed Fourier Neural Operators☆31Updated 3 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- ☆54Updated 3 years ago
- Graph-based operator learning in arbitrary geometries☆33Updated last week
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆67Updated 2 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…☆57Updated 11 months ago
- ☆35Updated 2 years ago
- ☆17Updated last year
- Spectral Neural Operator☆78Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Python 2D Navier-Stokes solver☆25Updated 4 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆80Updated last year