zabaras / inn-surrogate
Solving inverse problems using conditional invertible neural networks.
☆33Updated 3 years ago
Alternatives and similar repositories for inn-surrogate:
Users that are interested in inn-surrogate are comparing it to the libraries listed below
- Implementation of physics informed neural networks with PyTorch☆21Updated 4 years ago
- ☆30Updated last year
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 9 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆39Updated 2 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆34Updated 3 years ago
- ☆39Updated 2 years ago
- ☆21Updated 3 years ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 4 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆57Updated 7 months ago
- ☆52Updated 2 years ago
- Synthetic Lagrangian Turbulence by Generative Diffusion Models☆20Updated 3 months ago
- Practicum on Supervised Learning in Function Spaces☆32Updated 3 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- ☆14Updated 11 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆63Updated 11 months ago
- Physics Informed Neural Networks☆20Updated 4 years ago
- Generator of 2D gaussian random fields☆50Updated 2 years ago
- ☆55Updated 10 months ago
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆29Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆47Updated 3 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆23Updated 10 months ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆17Updated last year
- ☆48Updated 2 years ago
- ☆14Updated 3 years ago
- ☆26Updated 2 years ago
- Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"☆38Updated 10 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆25Updated last year
- PyTorch-FEniCS interface☆100Updated 3 years ago
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year