sigopt / evalsetLinks
Benchmark suite of test functions suitable for evaluating black-box optimization strategies
☆52Updated 5 months ago
Alternatives and similar repositories for evalset
Users that are interested in evalset are comparing it to the libraries listed below
Sorting:
- ☆69Updated 5 years ago
- Bayesian optimization in high-dimensions via random embedding.☆115Updated 12 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Bayesian optimization for Python☆245Updated 3 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Parameterization Framework for parameterized model creation and handling.☆49Updated 3 months ago
- Functional ANOVA☆124Updated 7 months ago
- RoBO: a Robust Bayesian Optimization framework☆490Updated 6 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆154Updated 4 years ago
- Python package for modular Bayesian optimization☆137Updated 4 years ago
- ☆50Updated last year
- gpbo☆25Updated 4 years ago
- Simple Python interface for the SigOpt API☆71Updated last week
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Bayesian Optimization of Combinatorial Structures☆97Updated 6 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- A Gaussian process toolbox in python☆42Updated 13 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- ☆45Updated 4 years ago
- Talks from Neil Lawrence☆54Updated last year
- ☆99Updated 7 years ago
- Code for AutoGP☆27Updated 6 years ago
- Kernel structure discovery research code - likely to be unstable☆193Updated 10 years ago