mingdeyu / DGPLinks
Python package 'dgpsi' for deep and linked Gaussian process emulations
☆27Updated 4 months ago
Alternatives and similar repositories for DGP
Users that are interested in DGP are comparing it to the libraries listed below
Sorting:
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆49Updated last year
- ☆36Updated 4 years ago
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆62Updated this week
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆35Updated 3 years ago
- Literature and light wrappers for gaussian process models.☆46Updated 3 years ago
- ☆47Updated last year
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- ☆35Updated last year
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 4 years ago
- A Python module that implements tools for the simulation and identification of random fields using the Karhunen-Loeve expansion represent…☆23Updated 8 years ago
- Kernel methods for statistical modeling of dynamical systems☆24Updated 4 months ago
- ☆13Updated 5 years ago
- ☆21Updated 4 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆39Updated 7 months ago
- a multiresolution convolutional autoencoder architecture☆21Updated 4 years ago
- Official implementation of Score-based Data Assimilation☆61Updated last year
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 2 months ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Official implementation of Learning Dissipative Chaos In A Linear Way☆11Updated 4 months ago
- A software package for flexible HPC GPs☆16Updated this week
- OceanBench - SSH edition☆20Updated last year
- Experiments demonstrating coupled online learning for machine learning parameterizations☆21Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- ☆38Updated last year
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 4 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆73Updated 2 weeks ago
- Use Deep Learning in Data Assimilation☆45Updated 4 months ago
- Datasets and code for results presented in the BOON paper☆43Updated 2 years ago
- WAVI ice sheet model☆30Updated last month