bayeso
Optimization framework
A framework for optimizing hyperparameters in machine learning models using Bayesian optimization
Simple, but essential Bayesian optimization package
93 stars
5 watching
9 forks
Language: Python
last commit: 6 days ago
Linked from 1 awesome list
bayesian-optimizationhyperparameter-optimizationmachine-learning
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 automl/robo | A Bayesian optimization framework designed to optimize complex functions with robustness and flexibility | 483 |
 hips/spearmint | A Python library for automatic optimization of functions through Bayesian optimization | 1,547 |
 alonfnt/bayex | An implementation of Bayesian optimization using Gaussian process regression and JAX for efficient numerical computations | 84 |
| automl/smac3 | An optimization framework for machine learning hyperparameters | 1,085 |
 gpflow/gpflowopt | A Python package for Bayesian optimization using the GPFlow library and TensorFlow. | 270 |
 c-bata/goptuna | A decentralized hyperparameter optimization framework inspired by Optuna. | 260 |
 fpicetti/occamypy | A library for solving large-scale optimization problems with flexible and scalable vector and operator definitions | 54 |
 mysteryresearcher/dasha | A framework for distributed optimization with communication compression and optimal oracle complexity. | 0 |
 perone/pyevolve | A Python-based optimization framework providing tools and algorithms to evolve solutions from problem definitions. | 315 |
 christophmark/bayesloop | A framework for fitting time series models with changing parameters and selecting the best model using Bayesian inference | 153 |
 yaodongyu/tct | An approach to train and optimize machine learning models in a decentralized setting by convexifying the optimization process | 4 |
 jonfanlab/glonet | A software framework for training neural networks to optimize dielectric metasurfaces using physics-driven generative models and global optimization algorithms. | 101 |
 bluebrain/bluepyopt | A flexible framework for optimizing model parameters in computational neuroscience and related fields. | 200 |
 gdikov/hypertunity | A toolset for optimizing hyperparameters of machine learning models using Bayesian optimization and real-time visualization. | 136 |
 guopengf/auto-fedrl | A reinforcement learning-based framework for optimizing hyperparameters in distributed machine learning environments. | 15 |