automl / RoBOLinks
RoBO: a Robust Bayesian Optimization framework
☆491Updated 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 4 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- a distributed Hyperband implementation on Steroids☆621Updated 2 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆418Updated 2 years ago
- Gaussian Process Optimization using GPy☆948Updated 2 years ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆214Updated last week
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆248Updated last year
- Tuning hyperparams fast with Hyperband☆594Updated 7 years ago
- Functional ANOVA☆124Updated 6 months ago
- ☆69Updated 5 years ago
- Python code for bayesian optimization using Gaussian processes☆312Updated 8 years ago
- optimization routines for hyperparameter tuning☆423Updated last year
- ☆239Updated 8 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52Updated 4 months ago
- A fully decentralized hyperparameter optimization framework☆124Updated last year
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- Spearmint Bayesian optimization codebase☆1,560Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,197Updated last week
- Kernel structure discovery research code - likely to be unstable☆193Updated 10 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆380Updated 8 years ago
- Bayesian neural network package☆151Updated 4 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 8 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆154Updated 4 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- Bayesian optimization in high-dimensions via random embedding.☆115Updated 12 years ago
- Experimental Global Optimization Algorithm☆483Updated 7 years ago
- Exploring differentiation with respect to hyperparameters☆296Updated 9 years ago