bayex
by alonfnt
Minimal Implementation of Bayesian Optimization in JAX
AI summary
Bayesian optimizer
A lightweight Bayesian optimization library designed to optimize expensive-to-evaluate functions using Gaussian Process models and various acquisition functions.
- stars
- 86
- forks
- 1
- watching
- 4
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Bayesian optimizer
An efficient Bayesian optimization toolbox for nonlinear optimization and experimental design
Bayesian optimizer
A Python package for Bayesian optimization using the GPFlow library and TensorFlow.
Optimization framework
A framework for optimizing hyperparameters in machine learning models using Bayesian optimization
automl/smac31.1K
Hyperparameter optimizer
An optimization framework for machine learning hyperparameters
hips/spearmint1.6K
Bayesian optimizer
A Python library for automatic optimization of functions through Bayesian optimization
Model optimizer
Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing.
Bayesian classifier
A software framework implementing a multivariate Bayesian classifier for language identification
Bayesian tools
A Python library for Bayesian inference and multinomial mixture modeling
Deep learning optimizer
An open-source project providing hardware accelerated, batchable and differentiable optimizers in JAX for deep learning.
KFAC optimizer
Library providing an implementation of the K-FAC optimizer and curvature estimator for second-order optimization in neural networks.
Bayesian DL tool
A Python package facilitating Bayesian Deep Learning methods with Variational Inference for PyTorch
Bayesian estimator
An MCMC sampler library for Bayesian estimation using Python
Probabilistic Framework
A probabilistic programming framework for Bayesian inference and model comparison using nested sampling and JAX.
Bayesian regressor
A Python framework for Bayesian inference and regression using Gaussian processes.
Bayesian optimizer
PyTorch implementation of Noisy Natural Gradient as Variational Inference for Bayesian Neural Networks
Featured in 1 awesome list
Each link jumps to the spot where the list mentions bayex.
