NICTA / revrandLinks
A library of scalable Bayesian generalised linear models with fancy features
☆60Updated 7 years ago
Alternatives and similar repositories for revrand
Users that are interested in revrand are comparing it to the libraries listed below
Sorting:
- ☆98Updated 7 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Code for AutoGP☆27Updated 5 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Categorical Latent Gaussian Process☆16Updated 10 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆32Updated 10 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 8 years ago
- Collapsed Variational Bayes☆71Updated 5 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Bayesian dessert for Lasagne☆84Updated 8 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated 11 months ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Nonparametric Active Sampling☆11Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- ☆11Updated last year
- Mirror of the scripts for Dwork et al's paper on holdout reuse☆38Updated 9 years ago
- ☆30Updated 7 years ago
- bayesian bootstrapping in python☆121Updated 3 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago