argonne-lcf / AI4ScienceTutorialLinks
A tutorial for students that surveys basic ML techniques in ipython notebook format.
☆27Updated 5 years ago
Alternatives and similar repositories for AI4ScienceTutorial
Users that are interested in AI4ScienceTutorial are comparing it to the libraries listed below
Sorting:
- Convolutional Solvers for Partial Differential Equations☆28Updated 5 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- ☆10Updated 2 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 2 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 5 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- ☆18Updated 4 years ago
- An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py☆63Updated 4 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 5 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Rheology-informed Machine Learning Projects☆20Updated last year
- Scaling RLLib for generic simulation environments on Theta☆20Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Spring 2023 seminar on automated experiment☆23Updated 2 years ago
- A Python library for training neural ODEs.☆25Updated 5 months ago
- A hands-on tutorial on supervised learning with Gaussian processes☆38Updated 5 years ago
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆50Updated last year
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆11Updated 4 years ago
- Stiff Neural Ordinary Differential Equations☆34Updated 2 years ago
- Scientific Machine Learning Tutorials☆39Updated 3 years ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…☆37Updated last year
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 4 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Updated last year
- Physics Informed Neural Networks (PINNs) code to solve the 3D Poisson-Boltzmann equation.☆10Updated 4 months ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 6 months ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆38Updated 4 years ago
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆15Updated last year