somdattagoswami / Approximating-StiffKinetics
☆10Updated 10 months ago
Alternatives and similar repositories for Approximating-StiffKinetics:
Users that are interested in Approximating-StiffKinetics are comparing it to the libraries listed below
- ☆25Updated 9 months ago
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆30Updated 4 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆17Updated 5 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆18Updated 11 months ago
- ☆53Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆39Updated last month
- Reduced-Order Modeling of Fluid Flows with Transformers☆23Updated last year
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆50Updated 3 months ago
- MIONet: Learning multiple-input operators via tensor product☆33Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last week
- Official implementation of Scalable Transformer for PDE surrogate modelling☆41Updated last year
- ☆28Updated last month
- ☆31Updated last year
- DeepONet extrapolation☆27Updated last year
- ☆12Updated last year
- Here you find the Spectral Operator Learning Under construcTION☆19Updated 11 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆47Updated 10 months ago
- ☆41Updated 7 months ago
- Differential equation neural operator☆20Updated last year
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆11Updated last year
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆42Updated last year
- PDE Preserved Neural Network☆46Updated 9 months ago
- ☆41Updated 2 years ago
- ☆27Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆48Updated 3 years ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆14Updated 11 months ago
- ☆13Updated 5 years ago
- Multifidelity DeepONet☆31Updated last year
- ☆41Updated last year
- ☆49Updated 2 months ago