Nigini Oliveira's Projects
Kernel Sources for Asus Zenpad 3S 10 (z500m) released by Asus. Mediatek mt8176 / mt8173 SoC.
I am playing with Android as I am using it to teach Interaction Programming
My playground repository to test Sensors in the Android platform
My Android Voice (STT/TTS) Playground
PyBossa's Table Transcriber APP
ASKBOT is a Q&A forum, written in Django/Python and Javascript. **TRANSLATORS**: the translation environment is at https://www.transifex.com/projects/p/askbot/
Remake of Battle City on Python
Extracted Boot.img from Asus Zenpad 3S 10 / z500m - Model: P027 Android 7.0
The buddycloud server written in Java.
Django project for studying purposes...
Projeto que analisa os dados do TCU.
Some data visualization studies...
This is a copy of http://sourceforge.net/projects/getboo/ from where we want to build up some research instrumentations.
Gig-economy driving game prototype in P5.js. Race through traffic and collect pickup packages for your gig-platform.
Studying the Google AppEngine technology with their JAVA tutorial.
Projeto desenvolvido no Hackfest de Computação e Música do LSD
Code for "On the Utility of Learning about Humans for Human-AI Coordination"
This project creates a platform to monitor abandoned buildings searching for pressing public administration to use them to social habitation.
Informatics HCI+Design methods class.
INFO 441 - UW iSchool - Winter 2019
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Mastodon documentation
Mozilla community directory -- A centralized directory of all Mozilla contributors!
Web application where humans can play Overcooked with AI agents.
A benchmark environment for fully cooperative human-AI performance.
My explorations in the p5js world
PyBossa is an open source platform for crowd-sourcing online (volunteer) assistance to perform tasks that require human cognition, knowledge or intelligence (e.g. image classification, transcription, information location etc).
Learning React.js.... It was about time! ;)
Minimalist HTML reader with LKL (local-first) web annotations.