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SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

automl configuration random-forest gaussian-process bayesian-optimisation bayesian-optimization hyperparameter-search hyperparameter-tuning algorithm-configuration automated-machine-learning hyperparameter-optimization

Created 2016-08-17

2,077 commits to main branch, last one about a month ago

36

147

mit

8

sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model

gaussian-process machine-learning quantum-chemistry molecular-dynamics molecular-force-fields

Created 2018-07-11

205 commits to master branch, last one about a year ago

15

143

other

6

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

stan rstats timeseries forecasting gaussian-process multilevel-models bayesian-statistics ecological-modelling time-series-analysis vectorautoregression dynamic-factor-models vector-autoregression multivariate-timeseries generalised-additive-models generalized-additive-models joint-species-distribution-modelling

Created 2021-10-18

1,038 commits to master branch, last one 17 hours ago

6

71

apache-2.0

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Automated Bayesian model discovery for time series data

icml forecasting times-series gaussian-process machine-learning bayesian-inference structure-learning

Created 2023-02-17

113 commits to main branch, last one 23 days ago

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61

unknown

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A minimal implementation of Gaussian process regression in PyTorch

pytorch gaussian-process gaussian-processes gaussian-process-regression

Created 2021-12-30

12 commits to main branch, last one 2 years ago