sigopt / evalsetLinks
Benchmark suite of test functions suitable for evaluating black-box optimization strategies
☆52Updated 7 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.☆116Updated 12 years ago
- 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++.☆273Updated 5 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- Functional ANOVA☆125Updated 9 months ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆157Updated 4 years ago
- RoBO: a Robust Bayesian Optimization framework☆489Updated 6 years ago
- Bayesian Optimization of Combinatorial Structures☆102Updated 6 years ago
- gpbo☆25Updated 4 years ago
- ☆50Updated last year
- Parameterization Framework for parameterized model creation and handling.☆49Updated 6 months ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- ☆67Updated 7 years ago
- Kernel structure discovery research code - likely to be unstable☆195Updated 10 years ago
- Python package for modular Bayesian optimization☆136Updated 5 years ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆218Updated last week
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Simple Python interface for the SigOpt API☆71Updated 3 months ago
- Fast Function Extraction☆86Updated 6 months ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Updated last year
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- Modular Probabilistic Programming on MXNet☆104Updated 2 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆84Updated last year
- Parameter Importance Analysis Tool☆77Updated 4 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Surrogate Optimization Toolbox for Python☆214Updated 4 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆39Updated 3 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago