rmgarnett / active_gp_hyperlearningLinks
Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014).
☆16Updated 8 years ago
Alternatives and similar repositories for active_gp_hyperlearning
Users that are interested in active_gp_hyperlearning are comparing it to the libraries listed below
Sorting:
- scikit-learn addon to operate on set/"group"-based features☆41Updated 9 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- ☆68Updated last year
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.☆48Updated 8 years ago
- ☆25Updated 9 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 4 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- Variational Bayesian Mixture of Factor Analysers☆24Updated 10 years ago
- ☆19Updated 7 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 12 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 3 months ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 7 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 11 years ago
- ☆20Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 10 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- Rectified Factor Networks☆38Updated 5 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- ☆58Updated 9 years ago
- Code for the Kaggle Marinexplore challenge☆17Updated 12 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago