IdahoLabResearch / BIhNNsLinks
The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).
☆15Updated 2 years ago
Alternatives and similar repositories for BIhNNs
Users that are interested in BIhNNs are comparing it to the libraries listed below
Sorting:
- ☆28Updated 4 years ago
- Python Library for Generalized Gaussian Process Modeling☆25Updated 5 months ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆32Updated 4 years ago
- ☆10Updated 4 years ago
- SAASBO: a package for high-dimensional bayesian optimization☆45Updated 4 years ago
- ☆11Updated 4 years ago
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆37Updated 5 years ago
- ☆10Updated 2 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆65Updated 8 months ago
- Datasets and code for results presented in the ProbConserv paper☆55Updated last year
- Efficient Differentiable n-d PDE solvers in JAX.☆47Updated 10 months ago
- ☆42Updated 2 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 2 years ago
- Bayesian optimized physics-informed neural network for parameter estimation☆32Updated 9 months ago
- Spectral Neural Operator☆78Updated last year
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆22Updated 10 months ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 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
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- ☆17Updated last year
- An unofficial implementation of the Fourier Neural Operator in Flax☆18Updated last year
- ☆21Updated 4 years ago
- ☆21Updated 2 years ago
- ☆16Updated last year
- The public repository about our joint FINN research project☆38Updated 2 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆34Updated last year
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆36Updated 5 months ago
- ☆42Updated 5 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last year