Algorithmic trading application for use with Interactive Brokers

Materials for Probability Theory and Modelling

Python implementation of Stochastic Variational Inference for LDA

Gaussian processes (GPs) are a good choice for function approximation as they are flexible, robust to over-fitting, and provide well-calibrated predictive uncertainty. Deep Gaussian processes (DGPs) are multi-layer generalisations of GPs, but inference in these models has proved challenging. Existing approaches to inference in DGP models assume …

Solutions for the "Higher Mathematics IV - Stochastics for Engineers" course

Python scripts to run PLS (Physical Layer Security) simulations using Cooperative Jamming techniques in V2X networks.

Distributions is a web service for showing graphs of different probability distributions.

Personal repository consisting of fundamental concepts of different branches of mathematics and statistics.

Repository for the development of the stochastics library.

Statistical quality control is a web service for calculating sampling plans for statistical quality control.