NICTA / revrand
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
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Code for AutoGP☆26Updated 5 years ago
- ☆98Updated 7 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Variational Fourier Features☆84Updated 3 years ago
- PyMC Example Notebooks☆74Updated 11 years ago
- Nonparametric Active Sampling☆11Updated 6 years ago
- Collapsed Variational Bayes☆70Updated 5 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 8 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated last year
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Patsy Adaptors for Scikit-learn☆48Updated 5 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 8 years ago
- Some scikit-learn-esque wrappers for statsmodels GLM☆23Updated 11 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆32Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- ☆42Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago