josephbakarji / bucki-dataLinks
Machine learning algorithms for discovering dimensionless groups from simulation and experimental data
☆12Updated 2 years ago
Alternatives and similar repositories for bucki-data
Users that are interested in bucki-data are comparing it to the libraries listed below
Sorting:
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 5 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Updated last year
- ☆21Updated 4 years ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- ☆29Updated 7 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆10Updated 5 years ago
- Repository for Deterministic Particle Flow Control framework☆10Updated 2 years ago
- ☆14Updated last year
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆15Updated 2 years ago
- Repository outlining functions and tests for automatic regression of governing equations (ARGOS)☆16Updated last year
- ☆17Updated 6 months ago
- Efficient Differentiable n-d PDE solvers in JAX.☆40Updated 7 months ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- ☆16Updated 10 months ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- Stiff Neural Ordinary Differential Equations☆34Updated 2 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Updated 11 months ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆30Updated 5 years ago
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 4 years ago
- ☆10Updated 2 years ago
- ☆10Updated 3 years ago
- Python package for analyzing and representing droplets and emulsions☆12Updated last month
- Physics-informed neural networks☆15Updated 4 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Updated 5 years ago