PredictiveScienceLab / variational-elliptic-SPDELinks
☆13Updated 5 years ago
Alternatives and similar repositories for variational-elliptic-SPDE
Users that are interested in variational-elliptic-SPDE are comparing it to the libraries listed below
Sorting:
- Turbulent flow network source code☆70Updated 5 months ago
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆27Updated 3 years ago
- ☆63Updated 6 years ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- ☆54Updated 2 years ago
- ☆42Updated 2 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- The public repository about our joint FINN research project☆38Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- ☆38Updated 2 years ago
- ☆58Updated last week
- Multi-fidelity Generative Deep Learning Turbulent Flows☆38Updated 4 years ago
- ☆27Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆67Updated 4 months ago
- ☆48Updated last year
- Applications of PINOs☆132Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆50Updated 2 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆49Updated 2 years ago
- ☆187Updated 4 months ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated last year
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 5 years ago
- ☆36Updated 2 years 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