Projects in Awesome Lists tagged with gaussian-process
A curated list of projects in awesome lists tagged with gaussian-process .
https://github.com/automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
algorithm-configuration automated-machine-learning automl bayesian-optimisation bayesian-optimization configuration gaussian-process hyperparameter-optimization hyperparameter-search hyperparameter-tuning random-forest
Last synced: 05 Apr 2025
https://github.com/stefanch/sGDML
sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model
gaussian-process machine-learning molecular-dynamics molecular-force-fields quantum-chemistry
Last synced: 04 May 2025
https://github.com/swyoon/pytorch-minimal-gaussian-process
A minimal implementation of Gaussian process regression in PyTorch
gaussian-process gaussian-process-regression gaussian-processes pytorch
Last synced: 27 Apr 2025
https://github.com/mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
automl bayesian-optimization bbotk black-box-optimization cran gaussian-process hpo hyperparameter hyperparameter-optimization hyperparameter-tuning machine-learning mlr3 model-based-optimization optimization optimizer r r-package random-forest tuning
Last synced: 12 Oct 2025
https://github.com/robinthibaut/skbel
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
bayesian-inference gaussian-process gaussian-process-regression gaussian-processes geology groundwater hydrogeology machine-learning multiple-output-regression multivariate-regression pfa sklearn
Last synced: 05 Oct 2025
https://github.com/discsim/frank
1D, super-resolution brightness profile reconstruction for interferometric sources
fourier-methods gaussian-process interferometry
Last synced: 08 Apr 2026
https://github.com/awav/interactive-gp
Interactive Gaussian Processes
bokeh gaussian-process gp gpflow tensorflow
Last synced: 13 Apr 2025
https://github.com/mikediessner/environmental-conditions-bo
Data and code associated with paper "On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions" currently in review.
bayesian-optimisation black-box-optimisation gaussian-process machine-learning optimisation research research-paper
Last synced: 16 Jul 2025
https://github.com/deepbiolab/reinforce-bio
Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.
bioprocess-optimization bioreactor biotechnology ddpg deep-learning deep-reinforcement-learning gaussian-process hybrid-modeling neuralode process-optimization reinforcement-learning simulation
Last synced: 18 May 2026
