argonne-lcf / AI4ScienceTutorial
A tutorial for students that surveys basic ML techniques in ipython notebook format.
☆23Updated 5 years ago
Alternatives and similar repositories for AI4ScienceTutorial:
Users that are interested in AI4ScienceTutorial are comparing it to the libraries listed below
- Spring 2023 seminar on automated experiment☆23Updated last year
- Random snippets of code I've developed over the years (generally when bored)☆12Updated last year
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆18Updated 3 years ago
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆31Updated 3 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆26Updated 4 years ago
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆55Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆11Updated 3 years ago
- Deep Learning of Turbulent Scalar Mixing☆16Updated 5 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- ☆18Updated 4 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
- ☆10Updated last year
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆37Updated 6 months ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆11Updated 2 years ago
- ☆13Updated last year
- Applied Numerical Computing Course☆27Updated last year
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆25Updated last year
- A Python library for training neural ODEs.☆20Updated last month
- Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…☆35Updated 7 months ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆33Updated last year
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆11Updated 3 years ago
- Scaling RLLib for generic simulation environments on Theta☆20Updated last year
- Distributed Training of Bayesian Neural Networks at Scale☆11Updated 4 years ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆17Updated 2 weeks ago
- Materials for ACerS Automated Experiment Course☆20Updated 9 months ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆14Updated 3 years ago
- The Reaction Network Viewer (ReNView) generates a graphic representation of the reaction fluxes within the system essential for identifyi…☆22Updated 6 months ago
- Gaussian process augmented with a probabilistic model of expected system's behavior☆13Updated 2 years ago