PredictiveScienceLab / data-analytics-seLinks
ME 539 - Introduction to Scientific Machine Learning
☆124Updated last week
Alternatives and similar repositories for data-analytics-se
Users that are interested in data-analytics-se are comparing it to the libraries listed below
Sorting:
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Updated 5 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means…☆181Updated 4 years ago
- ☆118Updated 6 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆78Updated last week
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆343Updated last month
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆68Updated last week
- ☆200Updated 9 months ago
- Introduction to Uncertainty Quantification☆257Updated 3 years ago
- Introductory workshop on PINNs using the harmonic oscillator☆139Updated 2 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆84Updated 3 years ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆20Updated last year
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆122Updated last year
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆106Updated last year
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆62Updated 5 years ago
- ME 697 - Advanced Scientific Machine Learning☆25Updated 8 months ago
- mathLab mirror of Python Dynamic Mode Decomposition☆113Updated 10 months ago
- Python Active-subspaces Utility Library☆76Updated 5 years ago
- Sandia Uncertainty Quantification Toolkit☆84Updated last year
- ☆274Updated 3 years ago
- MATLAB codes for physics-informed dynamic mode decomposition (piDMD)☆162Updated last year
- ☆213Updated last year
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆37Updated last week
- Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen☆179Updated 6 years ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆71Updated 9 years ago
- ☆49Updated 2 years ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆39Updated 9 months ago
- Update PDEKoopman code to Tensorflow 2☆24Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆60Updated 5 years ago