A probabilistic version of the Event Calculus logic programming engine, developed during my time at NCSR "Demokritos", Athens, Greece.
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Updated
Oct 14, 2013 - Prolog
A probabilistic version of the Event Calculus logic programming engine, developed during my time at NCSR "Demokritos", Athens, Greece.
Text language detector based on n-grams
C# based experiments in probabilistic graphical models
Machine Learning Assignments (UvA '15 '16)
A Scala library for probabilistic graphical models.
Portable Image Segmentation with Gibbs'
Robot behavior inference system based on ROS
A basic HMM implementation
Checking D-separations and I-equivalence in Bayesian Networks.
course by Daphne Koller - Stanford University
These are my solutions to the assignments of the probabilistic graphical models class offered by coursera
Advanced Predictive Modeling
Bayesian Inference 2, University of Eastern Finland 2017
Factor potentials for factor graphs, Bayesian networks, and Markov random fields
Profile Stan workloads
The homework assignments finished for the coursera specialization "Probabilistic Graphical Models"
This repository documents the machine learning and data visualization assignments done as part of ECE521 coursework.
This is where I play and learn about machine learning applications.
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