machine learning

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MAGI-CHRISTI

Genetics Algorithms and Genetic Programming library. https://genetics4j.org

Image Tagger is an application that predicts an image's tags using deep-learning. It is useful for photographers who want to improve their workflow by auto-tagging images.

A Ghidra plugin that renames variables based on machine learning predictions.

(Front-End) Mobile application developed through the use of artificial intelligence to automatically generate school assignments, only giving a few specific parameters to generate the document to be exported in PDF.

Weka CLI frontend for batch processing.

Experiments. In Scala.

Machine Learning (ML) service created using Spring Boot and Deep Java library (DJL).

Server monitors the delays of the various Evolution Games roulettes, notifying the discrepancies by sending messages on Telegram and alerts to the respective clients whose task is to play

K-NN Model with validation (Holdout, K-Fold, and LOO) and normalization.

Annonymizing facial footprints - anonyME allows users to inoculate their personal images against unauthorized machine learning models, with minimal distortion of the input image, and no need for prior machine learning knowledge.

*** The project is developed in 2014 *** The project contains various implemented algorithms in machine learning, soft computing, face analysis, micro-motion detection and etc. So I decided to clean up the codes for others who may find it useful.

This project aims to be a basic AI for chess using a feed-forward recurrent neural network and backpropagation as a primary training method using the FICS Games database as training data.

Asynchronous Distributed Subgradient Method Java Simulator

This is a flashcard type android application which provides the recommendation system based on the users learning behaviour. The user can also connect with a social community which will motivate them for their achievement of daily goals. Each has the

A aprendizagem se aplica ao que conhecemos como Cinemática Inversa, onde damos ao robô a posição (x,y,z) e a rotação (roll, pitch, yaw) desejadas do punho (ou garra) para que a inteligência obtenha quais ângulos ( theta_1, theta_2, ... , theta_6 ).

Create an ANN that can play Nes