GPflowOpt
Bayesian optimizer
A Python package for Bayesian optimization using the GPFlow library and TensorFlow.
Bayesian Optimization using GPflow
270 stars
28 watching
61 forks
Language: Python
last commit: almost 6 years agoLinked from 1 awesome list
bayesian-optimizationgpflowhyperparameter-optimizationmachine-learning
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 alonfnt/bayex | A lightweight Bayesian optimization library designed to optimize expensive-to-evaluate functions using Gaussian Process models and various acquisition functions. | 86 |
 ziatdinovmax/gpim | An open-source Python package for applying Gaussian processes to images and hyperspectral data for reconstruction and Bayesian optimization. | 57 |
 google/vizier | A Python-based service for optimizing complex objective functions | 1,494 |
 hips/spearmint | A Python library for automatic optimization of functions through Bayesian optimization | 1,550 |
 jungtaekkim/bayeso | A framework for optimizing hyperparameters in machine learning models using Bayesian optimization | 93 |
 gdikov/hypertunity | A toolset for optimizing hyperparameters of machine learning models using Bayesian optimization and real-time visualization. | 136 |
 lge-arc-advancedai/auptimizer | Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. | 200 |
 dragonfly/dragonfly | A Python library for scalable Bayesian optimisation of expensive black-box functions. | 863 |
 jaxgaussianprocesses/gpjax | Provides a low-level interface to Gaussian process models in JAX for flexible extension and customisation | 467 |
 geoopt/geoopt | Provides a framework for optimizing functions on Riemannian manifolds with PyTorch. | 862 |
 huntermcgushion/hyperparameter_hunter | Automates hyperparameter optimization and result saving across machine learning algorithms | 706 |
 project-platypus/platypus | A Python library for multiobjective optimization algorithms and analysis tools. | 579 |
 rmcantin/bayesopt | An efficient Bayesian optimization toolbox for nonlinear optimization and experimental design | 401 |
 automl/smac3 | An optimization framework for machine learning hyperparameters | 1,093 |
 100/solid | A comprehensive framework for solving optimization problems without gradient calculations. | 575 |