A professional, research-grade comparison of Gaussian Copula and Variational Autoencoder (VAE) methods for synthetic tabular data generation. Includes full evaluation pipeline with distribution overlap, correlation analysis, PCA projections, pairplots, metrics, and automated visual reports.

Repository to reproduce "Cascade-based Echo Chamber Detection" accepted at CIKM2022

A ML-like programming language with type-based probabilistic behavior specification, developed as part of PFN summer internship 2018.

Reinforcement Learning Using Q-learning, Double Q-learning, and Dyna-Q.

Smart tool that predicts the writer of a hand written text on a paper. Implementing own original ideas. Successfully classified +99% of test cases.

BSc. Computer Science thesis about probabilistic Sokoban models

An intelligent SRI web application using python base on the on CISI collection

Hybrid Hangman-solving agent combining Hidden Markov Models and Reinforcement Learning for intelligent, probabilistic word guessing.

trabajo practico final para la materia programación II - lcc

A program that creates a probabilistic model for a text file counting the number of occurrences of individual letters and also calculates entropy for the probabilistic model