saimani5 / VAE-tutorialsLinks
☆41Updated 2 years ago
Alternatives and similar repositories for VAE-tutorials
Users that are interested in VAE-tutorials are comparing it to the libraries listed below
Sorting:
- Spring 2023 seminar on automated experiment☆23Updated 2 years ago
- 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
- Invariant representation learning from imaging and spectral data☆52Updated last year
- Gaussian Processes for Experimental Sciences☆227Updated 3 months ago
- Materials for ACerS Automated Experiment Course☆20Updated last week
- ☆123Updated last year
- ☆39Updated last year
- ☆63Updated 10 months ago
- ☆23Updated last year
- Design space subset estimation using Bayesian algorithm execution with sklearn GP models☆23Updated 11 months ago
- Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry☆85Updated 4 months ago
- ☆35Updated 4 months ago
- Deep and Machine Learning for Microscopy☆213Updated 3 months ago
- The materials for the Fall ML in Materials course at the UTK MSE☆87Updated last year
- FoKL-GP implements Karhunen-Loève decomposed Gaussian processes with built-in forward variable selection. Decomposed GPs are key to embed…☆18Updated last week
- ☆27Updated 8 months ago
- Gaussian processes and Bayesian optimization for images and hyperspectral data☆57Updated last year
- ☆42Updated last year
- ☆92Updated this week
- Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.☆96Updated 3 weeks ago
- ☆53Updated 2 years ago
- Python interface that enables local and remote control of AR SPM with codes☆17Updated 4 months ago
- Course materials for "Applied AI for Materials Science and Engineering"☆66Updated 3 years ago
- A curated list of awesome resources on using machine learning and data science for discovery of physical laws☆35Updated 5 years ago
- These are the slides associated with the GNN tutorial at the APS March Meeting☆21Updated 2 years ago
- Connecting experimental materials science with computational modeling and literature analysis via LLM-powered agents☆23Updated 3 weeks ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 3 years ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆15Updated 2 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆71Updated 5 years ago