Pedro Miguel's Projects
Curso organización de datos 7506 FIUBA
Automated Materials Particle Instance Segmentation (AMPIS) utilizing Mask R-CNN
Use Ethereum, Solidity, and Smart Contracts to build production-ready apps based on the blockchain
Chatbot for website with React and Nodejs
Repositorio de materia Análisis de Datos de la Carrera de Especialización en Inteligencia Artifical de FIUBA.
Repositorio para el material de Análisis Matemático
Material de clases para Introducción a la Inteligencia Artificial (CEIA - FIUBA)
Solutions for Harvard's CS50 AI 2020 course
A basic notebook containing my response to the Predict Price Competition by DataSource.AI
Simultaneous Enhancement and Super-Resolution. #RSS2020
A deep neural network for particle size and shape analysis.
This repo contains my finalist resolutions of the data challenge proposed by EY.
Create a function that receives a list of strings that are arithmetic problems and returns the problems arranged vertically and side-by-side.
Scientific Computing with Python Projects - Budget App Create a "Category" class that can be used to create different budget categories.
Scientific Computing with Python Projects - Probability Calculator Write a program to determine the approximate probability of drawing certain balls randomly from a hat.
Scientific Computing with Python Projects - Polygon Area Calculator In this project you will use object oriented programming to create a Rectangle class and a Square class. The Square class should be a subclass of Rectangle and inherit methods and attributes.
Scientific Computing with Python Projects - Time Calculator Write a function named "add_time" that can add a duration to a start time and return the result.
Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch
Implementation of the paper "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection" in TensorFlow.
Landing Page for FCC
A repo for all the relevant code notebooks and datasets used in my Machine Learning tutorial videos on YouTube
Machine Learning Resources, Practice and Research