M3RG-IITD / cod-benchLinks
We present cod-bench containing 12 operators and 10 datasets.
☆11Updated last year
Alternatives and similar repositories for cod-bench
Users that are interested in cod-bench are comparing it to the libraries listed below
Sorting:
- Papers and codes of Physics-informed Deep Compositional Operator Network☆12Updated 10 months ago
- ☆17Updated 10 months ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- ☆45Updated 2 years ago
- ☆46Updated 7 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆29Updated 4 months ago
- Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.☆32Updated last month
- ☆28Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆36Updated 7 months ago
- The public repository about our joint FINN research project☆38Updated 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
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 8 months ago
- Distributed Fourier Neural Operators☆30Updated 3 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆98Updated 10 months ago
- ☆37Updated 2 years ago
- Differential equation neural operator☆23Updated 2 years ago
- ☆39Updated 2 years ago
- Spectral Neural Operator☆78Updated last year
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆69Updated 4 months 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
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆14Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24Updated last year
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆47Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆18Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆80Updated 11 months ago