SergeiVKalinin / UTK-Spring-2023---Automated-ExperimentLinks
Spring 2023 seminar on automated experiment
☆23Updated 2 years ago
Alternatives and similar repositories for UTK-Spring-2023---Automated-Experiment
Users that are interested in UTK-Spring-2023---Automated-Experiment are comparing it to the libraries listed below
Sorting:
- ☆40Updated last year
- The materials for the Spring Mathematics in Materials course at the UTK MSE☆49Updated last year
- Gaussian process augmented with a probabilistic model of expected system's behavior☆15Updated 3 years ago
- Gaussian Processes for Experimental Sciences☆227Updated last month
- FoKL-GP implements Karhunen-Loève decomposed Gaussian processes with built-in forward variable selection. Decomposed GPs are key to embed…☆18Updated last week
- Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry☆83Updated 3 months ago
- ☆123Updated last year
- Materials for ACerS Automated Experiment Course☆20Updated last year
- Invariant representation learning from imaging and spectral data☆51Updated last year
- Course materials for "Applied AI for Materials Science and Engineering"☆65Updated 3 years ago
- ☆63Updated 9 months ago
- The materials for the Fall ML in Materials course at the UTK MSE☆86Updated last year
- ☆26Updated 7 months ago
- MAterials Simulation Toolkit for Machine Learning (MAST-ML)☆125Updated 4 months ago
- ☆37Updated last year
- ☆89Updated 3 weeks ago
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆31Updated 4 years ago
- A curated list of awesome resources on using machine learning and data science for discovery of physical laws☆35Updated 5 years ago
- Gaussian processes and Bayesian optimization for images and hyperspectral data☆57Updated last year
- Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation☆50Updated 5 years ago
- DoEgen: A Python Library for Optimised Design of Experiment Generation and Evaluation☆96Updated 4 months ago
- Python Library for Generalized Gaussian Process Modeling☆25Updated 4 months ago
- ☆18Updated 4 years ago
- ☆41Updated last year
- An python script implementation to solve classical Density Functional Theory for Lennard-Jones fluids on 1D and 3D geometries☆20Updated 10 months ago
- The summer training course on the Bayesian Optimization☆27Updated 2 years ago
- Fitting thermodynamic models with pycalphad - https://doi.org/10.1557/mrc.2019.59☆74Updated last week
- These are the slides associated with the GNN tutorial at the APS March Meeting☆21Updated 2 years ago
- ☆35Updated 3 months ago
- A computational framework for finding symbolic expressions from physical datasets.☆61Updated 2 years ago