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compilers

cruzeirao2017

datarandom

Image viewer using pyqt to show an image in random sequence.

django-todo-react

This is a demo repository for a Todo application built off Django (and the Django REST Framework for API CRUD operations) and React.

eda

emokit

Open source driver for accessing raw data from the Emotiv EPOC EEG headset

eta_lab

eta_project

fastfouriertransform

game_opengl

gamebar

gamificacao-do-ensino-de-linguagem-c

Academic Work of Scientific Initiation with the title of “Gamification of C Language”. In which a game was designed that addresses all the content of disciplines involving the C programming language. Delivered in December 2016 by the University of Engineering of Sorocaba.

graph

image-processing

lfa

maratona

mazerunner

node-chat-app

person-re-identification

When they have an environment monitored by security cameras where they need to determine if a person who is appearing in the image was already present in the video before or if it is their first appearance, it is called within the field of artificial intelligence research as re-identifying people. This problem is presented as a challenge among researchers since such images collected by security cameras can present various visual noises in addition to partial obstructions by people. Thus, inspired by the teaching of the Greek historian Herodotus, thinking about the past to understand the present and idealizing the future, this work is presented through metrics between FaceNet and MobileNetV2 when exposed to the WiseNet dataset facing the problem of re-identification, being that both networks had very close F-Measure performances and accuracy, however when compared to the inference time of the experiment and the training time, FaceNet shows its advantages, in which with these inferred data it hoped to have helped to contribute to future evolutions and improvements in the algorithms of the area.

photoshop-c

pokemonredexperiments

Playing Pokemon Red with Reinforcement Learning

poo

pyxaiver-v2

This work evaluates different recurrent neural network architectures to control a virtual object on Robot Operating System (ROS) using electroencephalogram for signal acquisition. For the interface controls, voluntary hand motor actions were used, each hand for a different direction.

pyxavier

This work evaluates different recurrent neural network architectures to control a virtual object on Robot Operating System (ROS) using electroencephalogram for signal acquisition. For the interface controls, voluntary hand motor actions were used, each hand for a different direction.

restaurant-management

semantic-ui-react

so-embedded

spring-kotlin

threads-c

todoapp-e2e