Fabricio Torquato's starred repositories
aws-minecraft-server
An easy and fast way to create your own Minecraft Server.
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.
bbb-tracker
Chrome extension to track participants of Big Brother Brasil through an API
bbb-face-recognizer
Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time.
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.
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.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers