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
- Invariant representation learning from imaging and spectral data☆53Updated last year
- Gaussian process augmented with a probabilistic model of expected system's behavior☆15Updated 3 years ago
- Gaussian Processes for Experimental Sciences☆228Updated 4 months ago
- Materials for ACerS Automated Experiment Course☆20Updated last month
- ☆64Updated 11 months ago
- Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry☆85Updated 5 months ago
- ☆123Updated 2 years ago
- Design space subset estimation using Bayesian algorithm execution with sklearn GP models☆25Updated last year
- Deep and Machine Learning for Microscopy☆214Updated 4 months ago
- Python interface that enables local and remote control of AR SPM with codes☆17Updated 5 months ago
- ☆39Updated last year
- ☆41Updated last year
- FoKL-GP implements Karhunen-Loève decomposed Gaussian processes with built-in forward variable selection. Decomposed GPs are key to embed…☆18Updated last month
- Gaussian processes and Bayesian optimization for images and hyperspectral data☆57Updated last year
- The materials for the Fall ML in Materials course at the UTK MSE☆88Updated last year
- Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.☆97Updated 2 months ago
- Connecting experimental materials science with computational modeling and literature analysis via LLM-powered agents☆37Updated this week
- ☆53Updated 3 years ago
- ☆27Updated 9 months ago
- ☆95Updated last month
- ☆23Updated last year
- MAterials Simulation Toolkit for Machine Learning (MAST-ML)☆127Updated last month
- ☆35Updated 5 months ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 3 years ago
- Course materials for "Applied AI for Materials Science and Engineering"☆67Updated 3 years ago
- These are the slides associated with the GNN tutorial at the APS March Meeting☆21Updated 2 years ago
- Uncertainty Quantification, Decision Making under Uncertainty, Stochastic Modeling, HPC Optimization☆27Updated last month
- A python code to calculate the Brownian motion of colloidal particles in a time varying force field.☆20Updated last year