BayesProcess
Bayesian analyzer
An implementation of a physics-informed Bayesian network inference algorithm using neural networks to model and analyze solar cell performance
Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.
30 stars
6 watching
6 forks
Language: Jupyter Notebook
last commit: over 3 years ago
Linked from 1 awesome list
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 pvlib/pvanalytics | A Python library for analyzing data from photovoltaic energy systems | 97 |
 arviz-devs/arviz | A Python package for exploring and analyzing Bayesian models in data science | 1,613 |
 alonfnt/bayex | An implementation of Bayesian optimization using Gaussian process regression and JAX for efficient numerical computations | 84 |
 abhik/pebl | A Python library and command line application for learning Bayesian network structures from observational data. | 104 |
 judyboon/bass | An implementation of a Bayesian factor analysis model with structured sparsity priors for multivariate data | 20 |
 sandialabs/pvops | A suite of tools for analyzing photovoltaic energy system data | 18 |
 kirthevasank/nasbot | An implementation of neural architecture search with Bayesian optimization and optimal transport | 133 |
 slacgismo/solar-data-tools | A Python library for analyzing PV power time-series data using statistical signal processing algorithms. | 57 |
 mcleonard/sampyl | An MCMC sampler library for Bayesian estimation using Python | 330 |
 alvations/bayesline | A software framework implementing a multivariate Bayesian classifier for language identification | 0 |
 kdmayer/3d-pv-locator | Automated detection and registration of rooftop-mounted photovoltaic systems in 3D from satellite imagery. | 51 |
 uncomplicate/bayadera | Enables Bayesian data analysis and machine learning on graphics processing units (GPUs) to accelerate computational tasks. | 365 |
 amazaspshumik/sklearn-bayes | A collection of Python packages implementing Bayesian machine learning algorithms with scikit-learn API | 514 |
 ctallec/pyvarinf | A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch | 359 |
 gpflow/gpflowopt | A Python package for Bayesian optimization using the GPFlow library and TensorFlow. | 270 |