Multi-fidelity regression with neural networks
☆16Oct 29, 2025Updated 4 months ago
Alternatives and similar repositories for MultiFidelity_NNs
Users that are interested in MultiFidelity_NNs are comparing it to the libraries listed below
Sorting:
- ☆43May 10, 2023Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆31Jun 17, 2025Updated 8 months ago
- multi-fidelity neural network☆22Updated this week
- ☆41Sep 11, 2023Updated 2 years ago
- Multi-fidelity Gaussian Process☆29Jan 10, 2021Updated 5 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆39Jul 12, 2023Updated 2 years ago
- ☆46May 18, 2022Updated 3 years ago
- Collection of Multi-Fidelity benchmark functions☆29Aug 29, 2025Updated 6 months ago
- ☆13Dec 5, 2022Updated 3 years ago
- Multi-fidelity Gaussian Process Regression☆13Mar 22, 2023Updated 2 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Sep 7, 2023Updated 2 years ago
- ☆12Aug 22, 2025Updated 6 months ago
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆48Feb 17, 2026Updated 2 weeks ago
- Multi-fidelity probability machine learning☆22Nov 3, 2025Updated 4 months ago
- Gradient-enhanced Kriging surrogate model☆25Dec 5, 2025Updated 3 months ago
- implementation of physics-informed variational auto-encoder☆20Oct 26, 2023Updated 2 years ago
- Multi-task physics-informed neural networks☆25Oct 29, 2022Updated 3 years ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆30Dec 16, 2025Updated 2 months ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆67Apr 25, 2025Updated 10 months ago
- Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.☆36Feb 14, 2026Updated 2 weeks ago
- ☆16Nov 2, 2025Updated 4 months ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- ☆35Feb 28, 2025Updated last year
- ☆17Apr 18, 2024Updated last year
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆35Dec 27, 2020Updated 5 years ago
- ☆11Jan 7, 2025Updated last year
- ☆10Nov 5, 2022Updated 3 years ago
- This repository is a guided tutorial on Pseudo-Spectral method that in long run can help as a basis for study material on Direct Numerica…☆12Sep 23, 2021Updated 4 years ago
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆42Mar 18, 2020Updated 5 years ago
- Generalized sparse regression for continuous and discrete data☆12Feb 23, 2026Updated last week
- Physics Informed Sparse Identification of Nonlinear Dynamics☆12Jan 3, 2025Updated last year
- ☆10Mar 8, 2023Updated 2 years ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆18Nov 18, 2024Updated last year
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated 2 months ago
- This repository consists of two-step training DeepONet code.☆14May 22, 2024Updated last year
- A Multi-Fidelity Workflow for Conceptual Design Using Graph Neural Network-Based Field Prediction Surrogate Model☆12Feb 27, 2026Updated last week
- ☆18Feb 5, 2026Updated last month
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year