Physics simulation: Tic Tac Toe dense neural net
Tic Tac Toe: the optimum strategy was learnt by a two-layer fully-connected neural network

Physics simulation: Quantum Tunneling dense neural net
Quantum Tunneling: the transmission coefficient is fitted by a shallow fully-connected neural network that learns from binary observations identified with the collapse of the quantum wave-function

Physics simulation: Exoplanets dense neural net
Exoplanets: Kepler's third law is learnt by a shallow fully-connected neural network and thus the orbital period can be estimated from the radius and the solar mass

Physics simulation: Group Theory dense neural net
Group Theory: detection of Lie algebras with a total number of different irreductible representations in a product descomposition that exceed a threshold

Physics simulation: The Ising Model dense neural net
The Ising Model with a magnetic field: classification of parameters that exceed a given threshold for the Energy and the Magnetizaion

Physics simulation: Nonlinear Equations dense neural net
Quadratic two-dimensional homogeneous ODEs: detection of unstable equilibria

Physics simulation: Higgs Boson dense neural net
Detection of the Higgs Boson in LHC data: the Higgs Boson is detected at a concentration 1% in LHC collisions in format LHCO by a shallow fully-connected neural network

Physics simulation: Electrical Circuits dense neural net
Circuits' max power: detection of pasive-components' values that lead to currents above a certain threshold for diode-perturbed common circuits

AI vs Humans random forests classifier
A Musical Experiment: 200 humans were surveyed to measure the average human accuracy at recognizing classical music authors in between 8 options from short sound samples. Different AI-based-classifiers were measured against that benchmark and the conclusion was that a Random Forests Ensemble model performed with an average 3x accuracy than of humans.

Escher Inpainting Project inpainting with deep learning
The ongoing Escher Inpaint Project consists of the image inpainting of M.C. Escher's Print Gallery with deep learning techniques along with knowledge of the underlying conformal mapping.

TicTacToe Neural Net tictactoe against a neural net
Open Source and dynamic website built with TensorflowJS that uses a neural net to play tic tac toe

Covid Arg Fake News bayesian interpretation of covid data
Open Source and dynamic website built with Flask and hosted on Heroku that expands on the statistical implications of the Argentinian's corrupted coronavirus database from a bayesian perspective

AI-Friendly artificial intelligence made friendly
Dynamic website built with Nginx and Jenkins that makes publicly-available a neural network as per the state-sponsored transfer-learning mandate of ICAS to which I contributed during the Applied AI Internship

My Personal Page the page you are looking at
The current site is a static open-source website hosted by GitHub and built with Ruby's Jekyll using Bulma

Peat CPU-constrainer
Peat constrains Python scripts' local CPU-usage via Dockerization; it's ideal for intensive background processes

Google Form Randomizer decrease bounce & increase info
JavaScript Architecture for GoogleScripts that allows to downsize Google-Form surveys by randomizing the shown questions and thus allows for simpler forms with more total questions

Telegram Geo-Recommender Bot nearest market
Python Script for a Telegram Chatbot that indicates the nearest market based on the location

Tracking Orchestra converts movement to music
Python Script that converts the movement of an object to music using OpenCV's non-AI-based multi-tracking capabilities