mwhoffman / pyboLinks
Python package for modular Bayesian optimization
☆136Updated 4 years ago
Alternatives and similar repositories for pybo
Users that are interested in pybo are comparing it to the libraries listed below
Sorting:
- Exploring differentiation with respect to hyperparameters☆296Updated 9 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆192Updated 6 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 8 years ago
- Optimizers for machine learning☆183Updated last year
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- ☆98Updated 7 years ago
- Kernel structure discovery research code - likely to be unstable☆191Updated 10 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Implements SFO minibatch optimizer in Python and MATLAB, and reproduces figures from paper.☆127Updated 4 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆209Updated 9 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Code for Mondrian Forests (for classification and regression)☆266Updated 9 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- megaman: Manifold Learning for Millions of Points☆328Updated 2 years ago
- ☆46Updated 11 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆306Updated 10 years ago
- Bayesian Optimization using GPflow☆271Updated 4 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Stochastic gradient routines for Theano☆103Updated 7 years ago
- Spearmint, without the gum☆42Updated 8 years ago
- ☆238Updated 8 years ago
- Edward content including papers, posters, and talks☆92Updated 4 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago