automl / RoBOLinks
RoBO: a Robust Bayesian Optimization framework
☆489Updated 6 years ago
Alternatives and similar repositories for RoBO
Users that are interested in RoBO are comparing it to the libraries listed below
Sorting:
- Bayesian Optimization using GPflow☆272Updated 5 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆272Updated 5 years ago
- a distributed Hyperband implementation on Steroids☆625Updated 3 years ago
- Gaussian Process Optimization using GPy☆950Updated 2 years ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆423Updated 2 years ago
- Tuning hyperparams fast with Hyperband☆597Updated 7 years ago
- optimization routines for hyperparameter tuning☆424Updated 2 years ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆217Updated 2 weeks ago
- Bayesian optimization for Python☆246Updated 3 years ago
- Python code for bayesian optimization using Gaussian processes☆314Updated 9 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- ☆69Updated 5 years ago
- Functional ANOVA☆125Updated 8 months ago
- ☆242Updated 8 years ago
- Experimental Global Optimization Algorithm☆483Updated 7 years ago
- Code for Mondrian Forests (for classification and regression)☆267Updated 9 years ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,206Updated last week
- Spearmint Bayesian optimization codebase☆1,560Updated 5 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,394Updated 8 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆217Updated 6 years ago
- Python package for modular Bayesian optimization☆137Updated 4 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52Updated 6 months ago
- A fully decentralized hyperparameter optimization framework☆124Updated last year
- Kernel structure discovery research code - likely to be unstable☆194Updated 10 years ago
- Bayesian optimization in high-dimensions via random embedding.☆116Updated 12 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆521Updated 4 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- Exploring differentiation with respect to hyperparameters☆296Updated 9 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆380Updated 8 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago