A new cybersecurity campaign has exposed 67 trojanized GitHub repositories, targeting gamers and developers with malicious Python tools.

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

We present a tutorial for MCMC methods that covers simple Bayesian linear and logistic models, and Bayesian neural networks. The aim of this tutorial is to bridge the gap between theory and ...

Code accompanying the paper Manifold Markov chain Monte Carlo methods for Bayesian inference in a wide class of diffusion models. The manifold Markov chain Monte Carlo (MCMC) methods in Mici are used ...

The details of MCMC implementation and the sampling procedures for each parameter of the model can be found in our report or in the paper. Our implementation in pure Python ended up being too slow for ...