argonne-lcf / AI4ScienceTutorialLinks
A tutorial for students that surveys basic ML techniques in ipython notebook format.
☆27Updated 6 years ago
Alternatives and similar repositories for AI4ScienceTutorial
Users that are interested in AI4ScienceTutorial are comparing it to the libraries listed below
Sorting:
- ☆10Updated 2 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 3 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆64Updated 3 years ago
- Spring 2023 seminar on automated experiment☆23Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py☆64Updated 4 years ago
- ☆19Updated 5 years ago
- A hands-on tutorial on supervised learning with Gaussian processes☆37Updated 5 years ago
- Publication of Python code used to train ModalPINN☆11Updated 3 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Updated 6 years ago
- Stiff Neural Ordinary Differential Equations☆35Updated 2 years ago
- Scaling RLLib for generic simulation environments on Theta☆20Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- a multiresolution convolutional autoencoder architecture☆23Updated 4 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆33Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Scientific Machine Learning Tutorials☆39Updated 3 years ago
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆32Updated 4 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Updated 5 years ago
- Physics-informed neural networks☆16Updated 4 years ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 9 months ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Updated 4 years ago
- The public repository about our joint FINN research project☆38Updated 3 years ago
- Rheology-informed Machine Learning Projects☆21Updated last year
- ☆19Updated 5 years ago
- A Python library for training neural ODEs.☆25Updated 8 months ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago