Projects and TPs developed at Graphical Computation at FEUP in 2020/2021
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Updated
Sep 23, 2022 - HTML
Projects and TPs developed at Graphical Computation at FEUP in 2020/2021
Assignments for the Probabilistic Graphical Models course (October - December 2018)
A re-implementation of a paper which uses graphical models for transferring style between images as my final project for course Graphical Models in Machine Learning, spring 2017.
change point detection and network inference for piecewise stationary data
This is the code for our publication Inferring Latent States in a Network Influenced by Neighbor Activities: An Undirected Generative Approach, IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, LA, 2017
Principal Component Analysis, PCA, Gaussian Markov Random Fields, Graphical model,
Ensemble of Trees of Pairwise Copulas for extremes
An introduction to graphical models in psychometrics.
More efficient MCMC using Cycle Basis Prior.
R and Python scripts for my Summer 2021 undegraduate research project on Chain Event Graphs as part of the URSS scheme
Compare optimization algorithms such as ATS, ACO, L-BFGS-B, and GLS to identify the best approach for solving the Traveling Salesman Problem (TSP).
Repository for relational learning website
This is a project about graphical model(Topic Model)
Artificial agents and reinforcement learning term projects
Code for the arXiv preprint:2206.05227
Python wrapper for CLIME estimators
This R-package is for learning the structure of the type of graphical models called t-cherry trees from data. The structure is determined either directly from data or by increasing the order of a lower order t-cherry tree.
TDDE15 - Advanced Machine Learning course at Linkoping University, Sweden
Code for the paper "Module-based regularization improves Gaussian graphical models when observing noisy data"
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