Koopman-Laboratory / KoopmanLab
A library for Koopman Neural Operator with Pytorch.
☆258Updated 3 months ago
Alternatives and similar repositories for KoopmanLab:
Users that are interested in KoopmanLab are comparing it to the libraries listed below
- DeepONet & FNO (with practical extensions)☆256Updated last year
- A package for computing data-driven approximations to the Koopman operator.☆327Updated 2 months ago
- Transformers for modeling physical systems☆132Updated last year
- Physics-informed learning of governing equations from scarce data☆127Updated last year
- ☆312Updated 2 years ago
- ☆187Updated 3 years ago
- ☆103Updated 3 months ago
- ☆239Updated 2 years ago
- ☆155Updated 11 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆204Updated last year
- neural networks to learn Koopman eigenfunctions☆387Updated 10 months ago
- Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆272Updated 5 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆201Updated 3 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆365Updated 8 months ago
- ☆398Updated 11 months ago
- ☆88Updated 3 years ago
- ☆251Updated 2 months ago
- ☆163Updated 11 months ago
- hPINN: Physics-informed neural networks with hard constraints☆122Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆136Updated 8 months ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆214Updated 3 months ago
- Encoding physics to learn reaction-diffusion processes☆93Updated last year
- Characterizing possible failure modes in physics-informed neural networks.☆127Updated 3 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆157Updated last month
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆106Updated 6 months ago
- mathLab mirror of Python Dynamic Mode Decomposition☆79Updated 3 months ago
- Learning nonlinear operators via DeepONet☆579Updated 2 years ago
- Applications of PINOs☆112Updated 2 years ago
- ☆128Updated 2 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆121Updated last month