PredictiveIntelligenceLab / TRIPODS_Winter_School_2022
Practicum on Supervised Learning in Function Spaces
☆32Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for TRIPODS_Winter_School_2022
- ☆37Updated last year
- ☆19Updated 4 months ago
- Spectral Neural Operator☆73Updated 11 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆59Updated 7 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆16Updated 5 months ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆16Updated 5 months ago
- Applications of PINOs☆109Updated 2 years ago
- ☆28Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆18Updated 10 months ago
- ☆14Updated 3 months ago
- ☆11Updated 11 months ago
- ☆52Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆34Updated last year
- ☆45Updated 2 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆33Updated last month
- Here you find the Spectral Operator Learning Under construcTION☆19Updated 6 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆52Updated 3 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆71Updated last month
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 5 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆37Updated last year
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆18Updated 3 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 3 years ago
- ☆24Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆61Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆82Updated 3 years ago
- ☆39Updated 3 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆134Updated last month
- Dimension reduced surrogate construction for parametric PDE maps☆36Updated 3 months ago