pkmtum / Semi-supervised_Invertible_Neural_OperatorsLinks
Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems
☆13Updated last year
Alternatives and similar repositories for Semi-supervised_Invertible_Neural_Operators
Users that are interested in Semi-supervised_Invertible_Neural_Operators are comparing it to the libraries listed below
Sorting:
- ☆42Updated 2 years ago
- ☆36Updated 2 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆23Updated last year
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆65Updated 3 months ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- ☆54Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- ☆12Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆14Updated last year
- This is the implementation of the RecFNO.☆21Updated 2 years ago
- ☆97Updated 3 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- ☆39Updated last year
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- ☆27Updated last year
- ☆61Updated 4 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆41Updated 2 years ago
- Separabale Physics-Informed DeepONets in JAX☆10Updated 8 months ago
- ☆44Updated 4 months ago
- The public repository about our joint FINN research project☆38Updated 2 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆46Updated last year
- ☆29Updated 2 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 5 years ago
- ☆56Updated 6 months ago
- PDE Preserved Neural Network☆54Updated 2 months ago