peterparity / PDE-VAE-pytorchLinks
PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
☆35Updated 3 years ago
Alternatives and similar repositories for PDE-VAE-pytorch
Users that are interested in PDE-VAE-pytorch are comparing it to the libraries listed below
Sorting:
- The public repository about our joint FINN research project☆36Updated 2 years ago
- ☆41Updated 2 years ago
- ☆20Updated 3 years ago
- ☆53Updated 2 years ago
- Deep learning assisted dynamic mode decomposition☆19Updated 3 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- ☆13Updated 5 years ago
- ☆32Updated last year
- ☆33Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆30Updated 2 months ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 4 years ago
- Try to approximate the solution of Fokker-Planck equation☆9Updated last year
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆21Updated 2 years ago
- ☆34Updated 4 years ago
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆44Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆11Updated 11 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆62Updated last month
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- ☆47Updated last year
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- ☆11Updated 4 years ago
- ☆21Updated 2 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆23Updated last year
- ☆35Updated last year
- ☆14Updated 3 years ago
- DeepONet extrapolation☆27Updated 2 years ago
- ☆11Updated last year
- ☆10Updated 2 months ago