scikit-optimize / scikit-optimize.github.io
Static documentation for skopt.
☆13Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for scikit-optimize.github.io
- Gaussian Process optimization algorithm for Hyperopt☆23Updated 10 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Neighborhood Components Analysis in C++☆38Updated 14 years ago
- Exponential Machines implementation☆39Updated 7 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆48Updated 4 months ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 7 years ago
- ☆44Updated 3 years ago
- ☆69Updated 4 years ago
- Performs nested cross-validation for scikit-learn classes using MPI for parallel computing.☆41Updated 9 years ago
- A library for Deep Learning Ensembles☆27Updated 2 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 6 years ago
- Scalable pattern search optimization with dask☆21Updated 7 years ago
- gpbo☆25Updated 3 years ago
- Random fiddling stored in notebooks☆22Updated 7 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- A Bayesian testing framework written in Python.☆95Updated 9 years ago
- ☆97Updated 6 years ago
- Finding the best parameters for any algorithm☆41Updated 7 years ago
- Slides and notebooks for the IfI Summer School 2018 on Machine Learning☆36Updated 6 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆114Updated 7 years ago
- Automatic differentiation + optimization☆104Updated 5 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆127Updated 3 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆32Updated 5 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 8 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)☆9Updated 10 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆79Updated 4 months ago
- Kohonen vector quantizers (SOM, NG, GNG)☆72Updated 6 years ago
- ☆13Updated 8 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆32Updated 9 years ago
- Future Gadget Machine☆69Updated 6 years ago