5 results found Sort:

automl
SMAC3 automl
220
1.0k
other
41
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
2,073 commits to main branch, last one 14 days ago
stefanch
sGDML stefanch
36
140
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 10 months ago
nicholasjclark
mvgam nicholasjclark
11
90
other
7
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
jags 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
Created 2021-10-18
666 commits to master branch, last one a day ago
swyoon
pytorch-minimal-gaussian-process swyoon
12
59
unknown
1
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 about a year ago
probsys
AutoGP.jl probsys
5
54
apache-2.0
5
Automated Bayesian model discovery for time series data
icml forecasting times-series gaussian-process machine-learning bayesian-inference structure-learning
Created 2023-02-17
80 commits to main branch, last one 5 months ago