rmcantin / bayesopt
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
☆405Updated last year
Alternatives and similar repositories for bayesopt:
Users that are interested in bayesopt are comparing it to the libraries listed below
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆266Updated 4 years ago
- Bayesian Optimization using GPflow☆269Updated 4 years ago
- RoBO: a Robust Bayesian Optimization framework☆485Updated 5 years ago
- Gaussian Process Optimization using GPy☆935Updated 2 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆214Updated 5 years ago
- Bayesian optimization for Python☆242Updated 2 years ago
- ☆231Updated 7 years ago
- Spearmint Bayesian optimization codebase☆1,551Updated 5 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 5 months ago
- Python code for bayesian optimization using Gaussian processes☆309Updated 8 years ago
- Python package for modular Bayesian optimization☆134Updated 4 years ago
- Gaussian processes in TensorFlow☆1,857Updated 2 weeks ago
- optimization routines for hyperparameter tuning☆418Updated last year
- Gaussian processes framework in python☆2,063Updated this week
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆80Updated 6 months ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,390Updated 7 years ago
- Collection of jupyter notebooks for demonstrating software.☆165Updated last year
- Bayesian optimization in high-dimensions via random embedding.☆113Updated 11 years ago
- megaman: Manifold Learning for Millions of Points☆326Updated last year
- Python package for Bayesian Machine Learning with scikit-learn API☆515Updated 3 years ago
- a distributed Hyperband implementation on Steroids☆615Updated 2 years ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,100Updated this week
- Kernel structure discovery research code - likely to be unstable☆190Updated 9 years ago
- ☆188Updated 5 months ago
- GPstuff - Gaussian process models for Bayesian analysis☆171Updated 2 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆206Updated last month
- Deep Gaussian Processes in Python☆232Updated 3 years ago
- ELFI - Engine for Likelihood-Free Inference☆272Updated 6 months ago
- Tuning hyperparams fast with Hyperband☆592Updated 6 years ago