luckystarufo / MrCAELinks
a multiresolution convolutional autoencoder architecture
☆23Updated 4 years ago
Alternatives and similar repositories for MrCAE
Users that are interested in MrCAE are comparing it to the libraries listed below
Sorting:
- ☆40Updated 2 years ago
- ☆19Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated 2 years ago
- A Python library for training neural ODEs.☆26Updated 10 months ago
- The public repository about our joint FINN research project☆37Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 7 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Updated 9 months ago
- ☆23Updated 4 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆26Updated last year
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆48Updated 5 months ago
- Turbulent flow network source code☆71Updated 9 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 4 years ago
- ☆15Updated 2 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 5 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- ☆10Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆71Updated this week
- Predicting wave propagation on shallow water with deep neural networks☆22Updated 2 years ago
- ☆50Updated 2 years ago
- ☆26Updated 7 years ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆80Updated last year
- Python 2D Navier-Stokes solver☆25Updated 4 months ago