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Hi there 👋

I'm João Pedro K. de Q. Verçosa,

  • Computer Engineer student from PUC-Rio.
  • Research areas: Deep Learning, Convolutional Neural Nerworks (CNNs), Computer Vision and Generative Adversarial Networks (GANs)
  • Working areas: Software Development, Web Development, Scientific Education

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João Verçosa's Projects

app_simulation icon app_simulation

Jupyter Notebook & RMarkdown files about simulations in a bank app. The main goal is to predict if a client will simulate in the next day, based on his activity in the app over the time. Includes Data Analysis (in R) & Machine Learning (in Python) codes.

astar-pathfinding icon astar-pathfinding

An python script that simulates and show the working progress of a A* pathfinder algortihm.

batepapouol icon batepapouol

Projeto 05 - Bootcamp Responde Aí utilizando Node e Axios

deepqa icon deepqa

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

final-thesis-dataset icon final-thesis-dataset

This git contains the code for the final thesis: "Redes Neurais Convolucionais na detecção e classificação de placas de trânsito brasileiras" or "Convolutional Neural Networks, detecting and classifying brazilian traffic signs", by João Pedro Verçosa

foodcamp icon foodcamp

Projeto 03, curso intensivo RespondeAí

icms-prediction icon icms-prediction

This repository contains the code and data used in the article "Estudo de Modelos para a Previsão de Arrecadação do ICMS do Rio de Janeiro" by João Pedro Verçosa.

intro-terraform icon intro-terraform

Aula 03 do mini-curso Jornada DevOps do Fabrício Veronez. Introdução ao Terraform utilizando Digital Ocean

machado-transformer icon machado-transformer

Using Andrej Karpathy's class to create a transformer that generates texts similar to the way Machado De Assis writes

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

minisom icon minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

models icon models

Models and examples built with TensorFlow

modular-t1.3 icon modular-t1.3

O objetivo deste exercício é implementar um TAD Lista por meio de uma lista duplamente encadeada.

opencv-course icon opencv-course

Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.

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