neuraloperator / markov_neural_operator
☆27Updated 7 months ago
Alternatives and similar repositories for markov_neural_operator:
Users that are interested in markov_neural_operator are comparing it to the libraries listed below
- ☆29Updated last year
- ☆37Updated 2 years ago
- ☆14Updated 5 months ago
- ☆66Updated last year
- Multiwavelets-based operator model☆57Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆41Updated 7 months ago
- DeepONet extrapolation☆25Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆55Updated last year
- ICON for in-context operator learning☆44Updated last month
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆18Updated 7 months ago
- ☆64Updated 4 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 3 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆13Updated 4 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆35Updated 10 months ago
- ☆34Updated last year
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 8 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆30Updated 10 months ago
- Spectral Neural Operator☆75Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆15Updated 3 months ago
- ☆31Updated last year
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆33Updated 3 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated 8 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆55Updated 6 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆39Updated last year
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆18Updated 2 years ago
- ☆52Updated 2 years ago
- ☆10Updated 5 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆49Updated 2 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…☆12Updated 8 months ago
- MIONet: Learning multiple-input operators via tensor product☆29Updated 2 years ago