⚙Projects

SciELO-Summarizer

Computational Social Sciences

Deep Learning

SciELO-Summarizer consists of a summarizer for scientific articles in Portuguese. It scrapes the content of the article from the SciELO website and generates a personalized summary for the user using Large Language Models (LLMs), especifically Llama3.

Felipe Lamarca, Claudia Fernandes, Daniel Zacarias, Gabriellen Carmo, Lauriano Benazzi, Marcelle Amaral, Talita Ribeiro

Deep Learning

Deep Learning

Assignments and presentation developed in the scope of the Deep Learning discipline, taught by Professor Dário Oliveira (FGV EMAp). Co-authored with @anacarolerthal, whom I thank for the ongoing partnership.

Felipe Lamarca, Ana Carolina Erthal

DataGrid

Algorithms

Implementation of search, sorting & selection algorithms to build an efficient datagrid. Project developed within the scope of the Algorithm Design and Analysis discipline, lectured by Professor Thiago Pinheiro de Araújo (FGV EMAp).

Felipe Lamarca, Cristiano Larréa

Statistical Modeling

Statistics

Computational Social Sciences

This repository gathers the data, scripts, and analyses conducted for the final project of the Statistical Modeling course, taught by Professor Luiz Max Fagundes de Carvalho (FGV EMAp) (@maxbiostat). The objective was to apply modeling, inference, and prediction techniques, learned throughout this course and the Statistical Inference course, to real-world data.

Machine Learning

Machine Learning

Statistics

This repository contains all the assignments and the project I did for the Machine Learning course at the School of Applied Mathematics of the Getulio Vargas Foundation (FGV EMAp). The course was taught by Professor Diego Mesquita.

Data Visualization

Data Visualization

Repository where I keep all the assignments and projects developed in the scope of the Data Visualization discipline, taught by Professor Jorge Poco (@jpocom) (FGV EMAp).

Felipe Lamarca, Ana Carolina Erthal, Guilherme de Melo