Projects
In this section, some of my original projects. They include teaching work, Machine Learning implementations, Machine Learning Competitions I've joined, University and courses final projects, and paper implementations.
Grocery products classification of storage in fridge or not based on product shape
This project uses the Precios Cuidados Argentinian Dataset for collecting product images and Neural Networks to classify them according to their conservation storage.
Detecting soccer players in a real-time video
This project uses Intel Architecture to build a realtime soccer players detector over a running video.
FPGA Super Mario Bros
Using FPGA technologies, this repository builds a Super Marios Bros. level. The challenge is to use very little memory and sprites.
Q-Learning Implementation - Solving Cliff Walking problem
This project uses Reinforcement Learning to guide a robot in a gridworld without falling from a cliff.
ECI2019 - Despegar - Classification of scenes in images of accommodations (Spanish)
Each lodging ad on Despegar's site has multiple images. Each one illustrates different parts of the product offered. Knowing which scene each image corresponds to is essential to obtain the best user experience. This Machine Learning competition was part of the ECI 2019 - School of Computer Science - WorkShop - Universidad de Buenos Aires. My participation was top-20 and made it to the next round.
Artificial Intelligence course (in Spanish)
This is an introductory course of Artificial Intelligence that I've prepared in 2018. It includes slides and labs for on-site learning.
- Day 1: Reinforcement Learning: Monte-Carlo , Q-Learning
- Day 2: Deep Learning
- Day 3: Convolution Neural Networks
- Day 4: Recurrent Neural Networks
Code
In this section, you can find some Competitive Programming ad Code related practice.
