shib0li / DNN-MFBOLinks
Multi-fidelity Bayesian Optimization via Deep Neural Nets
☆31Updated 4 years ago
Alternatives and similar repositories for DNN-MFBO
Users that are interested in DNN-MFBO are comparing it to the libraries listed below
Sorting:
- ☆37Updated last year
- Multi-fidelity regression with neural networks☆13Updated 7 months ago
- Multi-fidelity Gaussian Process☆27Updated 4 years ago
- ☆63Updated 5 years ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆66Updated 8 years ago
- Multi-fidelity probability machine learning☆18Updated 5 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- ☆182Updated 3 months ago
- Multi-fidelity reduced-order surrogate modeling☆24Updated 3 weeks ago
- ☆10Updated 4 years ago
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆10Updated 3 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆40Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- ☆39Updated 2 years ago
- Multi-fidelity classification with Gaussian process☆17Updated last year
- ☆21Updated 2 years ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 6 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆60Updated 3 years ago
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆30Updated 5 years ago
- Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".☆37Updated 3 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- The public repository about our joint FINN research project☆37Updated 2 years ago
- ☆14Updated 3 years ago
- ☆17Updated last year
- SAASBO: a package for high-dimensional bayesian optimization☆44Updated 3 years ago
- ☆48Updated last year
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆38Updated 7 months ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 4 years ago
- Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…☆37Updated last year