automl / RoBOLinks
RoBO: a Robust Bayesian Optimization framework
☆487Updated 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☆271Updated 4 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆268Updated 5 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- Gaussian Process Optimization using GPy☆947Updated 2 years ago
- Tuning hyperparams fast with Hyperband☆595Updated 7 years ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆418Updated 2 years ago
- ☆69Updated 5 years ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆214Updated 2 weeks ago
- a distributed Hyperband implementation on Steroids☆619Updated 2 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- optimization routines for hyperparameter tuning☆421Updated last year
- Functional ANOVA☆125Updated 5 months ago
- Python code for bayesian optimization using Gaussian processes☆312Updated 8 years ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,186Updated this week
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆66Updated 5 years ago
- Spearmint Bayesian optimization codebase☆1,559Updated 5 years ago
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,393Updated 8 years ago
- ☆238Updated 8 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52Updated 3 months ago
- Experimental Global Optimization Algorithm☆483Updated 7 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆152Updated 4 years ago
- A fully decentralized hyperparameter optimization framework☆124Updated last year
- Bayesian neural network package☆149Updated 4 years ago
- Code for Mondrian Forests (for classification and regression)☆266Updated 9 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- Exploring differentiation with respect to hyperparameters☆296Updated 9 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago