rmcantin / bayesopt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
☆400Updated last year
Related projects ⓘ
Alternatives and complementary repositories for bayesopt
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆261Updated 4 years ago
- RoBO: a Robust Bayesian Optimization framework☆482Updated 5 years ago
- Bayesian Optimization using GPflow☆270Updated 3 years ago
- Gaussian Process Optimization using GPy☆928Updated last year
- Bayesian optimization for Python☆240Updated 2 years ago
- ☆229Updated 7 years ago
- Python package for modular Bayesian optimization☆133Updated 3 years ago
- Python code for bayesian optimization using Gaussian processes☆308Updated 7 years ago
- A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++11)☆242Updated last year
- Bayesian optimization in high-dimensions via random embedding.☆113Updated 11 years ago
- ☆186Updated 3 months ago
- Collection of jupyter notebooks for demonstrating software.☆165Updated last year
- optimization routines for hyperparameter tuning☆416Updated 11 months ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆247Updated 3 months ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,387Updated 7 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆213Updated 5 years ago
- Reference implementation of Optimistic Expected Improvement.☆48Updated 4 years ago
- Spearmint Bayesian optimization codebase☆1,544Updated 4 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆177Updated 10 years ago
- Kernel structure discovery research code - likely to be unstable☆188Updated 9 years ago
- RBFOpt library for black-box optimization☆188Updated last year
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆79Updated 4 months ago
- A global, black box optimization engine for real world metric optimization.☆1,307Updated last year
- A library for factorization machines and polynomial networks for classification and regression in Python.☆245Updated 4 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆513Updated 3 years ago
- Surrogate Optimization Toolbox for Python☆205Updated 3 years ago
- Fast and flexible Gaussian Process regression in Python☆451Updated this week
- ELFI - Engine for Likelihood-Free Inference☆267Updated 4 months ago
- Gaussian processes framework in python☆2,038Updated last week
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,084Updated last week