BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
☆428Mar 14, 2023Updated 2 years ago
Alternatives and similar repositories for bayesopt
Users that are interested in bayesopt are comparing it to the libraries listed below
Sorting:
- Gaussian Process Optimization using GPy☆949Jan 17, 2023Updated 3 years ago
- A Python implementation of global optimization with gaussian processes.☆8,561Feb 17, 2026Updated 2 weeks ago
- A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)☆262Oct 18, 2023Updated 2 years ago
- Spearmint Bayesian optimization codebase☆1,565Dec 27, 2019Updated 6 years ago
- A global, black box optimization engine for real world metric optimization.☆1,319Mar 24, 2023Updated 2 years ago
- Bayesian optimization in high-dimensions via random embedding.☆116Aug 4, 2013Updated 12 years ago
- Bayesian Optimization using GPflow☆274Dec 2, 2020Updated 5 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52May 19, 2025Updated 9 months ago
- NeurIPS 2019 Paper☆11Dec 9, 2019Updated 6 years ago
- Gaussian processes framework in python☆2,143Jun 19, 2025Updated 8 months ago
- Python package for modular Bayesian optimization☆136Dec 21, 2020Updated 5 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,815Feb 23, 2024Updated 2 years ago
- RoBO: a Robust Bayesian Optimization framework☆489Apr 30, 2019Updated 6 years ago
- Hyperparameter optimization for neural networks☆48Oct 8, 2013Updated 12 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,394Jul 21, 2017Updated 8 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆275Feb 4, 2020Updated 6 years ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,214Updated this week
- Exploring differentiation with respect to hyperparameters☆296Jan 15, 2016Updated 10 years ago
- Fork of cma-es library by Nikolaus Hansen☆12Jul 12, 2017Updated 8 years ago
- Gaussian processes in TensorFlow☆1,902May 29, 2025Updated 9 months ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,607Feb 8, 2026Updated last month
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Jun 8, 2019Updated 6 years ago
- a distributed Hyperband implementation on Steroids☆628Oct 16, 2022Updated 3 years ago
- Bayesian optimization for Python☆245Mar 2, 2022Updated 4 years ago
- optimization routines for hyperparameter tuning☆425Nov 25, 2023Updated 2 years ago
- Optimization Examples with SigOpt☆201Apr 29, 2024Updated last year
- ☆35Jul 4, 2013Updated 12 years ago
- GPareto cran package☆18Feb 8, 2026Updated last month
- Bayesian optimization in PyTorch☆3,473Updated this week
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,843Mar 18, 2024Updated last year
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Sep 20, 2018Updated 7 years ago
- Hyper-parameter optimization for sklearn☆1,646Apr 15, 2025Updated 10 months ago
- Matlab code implementing Minimum Probability Flow Learning.☆70Sep 17, 2014Updated 11 years ago
- Tools for building new GAM models in mgcv☆16Jun 11, 2025Updated 8 months ago
- A package for measuring change between different versions of text☆20Jan 30, 2021Updated 5 years ago
- BOPP: Bayesian Optimization for Probabilistic Programs☆113Nov 9, 2017Updated 8 years ago
- rawr package☆17Sep 15, 2025Updated 5 months ago
- An R package for tidyverse-friendly causal inference☆10Aug 2, 2019Updated 6 years ago
- Code for Max-Margin Deep Generative Models☆12Jan 1, 2015Updated 11 years ago