A Python implementation of multivariate t-distributed random variables.
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Variational Bayes for Point Processes: implementation of Lloyd et al. (2015) on top of GPflow
Code for Kernel Adaptive Metropolis-Hastings
Conjugate Gradient Lower Bound
Random feature latent variable models in Python
Fast Convergence of Conjugate Gradients in Sparse Gaussian Processes
Prototype code for paper: Adversarial Generalized Method of Moments, Greg Lewis and Vasilis Syrgk...
group testing for (partially) exchangeable statuses
Basic utilities for Bayesian inference
Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and...
Python implementation of randomized SVD
A port of the MATLAB Delta Sigma Toolbox based on free software and very little sleep
Generate the Tracy-Widom distribution functions for beta = 1, 2, or 4 in Python
Implementation of probabilistic programming and Bayesian algorithms in Python, based on C. David...