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Bruno Macedo's Projects

aeon icon aeon

A toolkit for conducting machine learning tasks with time series data

breakout-game icon breakout-game

breakout game from Vanilla Web Projects, click the link to run the program: https://jdevstatic.github.io/breakout-game/

c-language-tutorial icon c-language-tutorial

intro to C language and if you think C is dead, you are really wrong! so check this out,

chgnet icon chgnet

Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov

cnn-exoplanet-candidates icon cnn-exoplanet-candidates

This repo contains the code I wrote for my project, Using Convolutional Neural Networks to Identify Exoplanet Candidates From Imagery.

code-rbic icon code-rbic

PROCESSAMENTO AUTOMÁTICO DE CURVAS DE LUZ PARA A IDENTIFICAÇÃO DE EXOPLANETAS UTILIZANDO ALGORITMOS DE APRENDIZADO DE MÁQUINA AUTOMATIC LIGHT CURVE PROCESSING FOR EXOPLANET IDENTIFICATION USING MACHINE LEARNING ALGORITHMS PROCESAMIENTO AUTOMÁTICO DE CURVAS DE LUZ PARA LA IDENTIFICACIÓN DE EXOPLANETAS UTILIZANDO ALGORITMOS DE APRENDIZAJE AUTOMÁTICO

deep-learning-fgv icon deep-learning-fgv

2021 Deep Learning and Applications de Prof. Cristian Lopez from La Salle Universidad

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

developer-roadmap icon developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

display-resolution-review icon display-resolution-review

just sharing my personal experience in using different resolutions of different desktops (for productivity)

exo-planet-detection-using-deep-learning icon exo-planet-detection-using-deep-learning

A Deep CNN Architecture to correctly Identify whether a given Signal is a transiting Exo-Planet or a false Positive. This is an Extra-Terrestrial Object Detection task.

exoplanet-detection-using-cnn icon exoplanet-detection-using-cnn

The project aims to leverage machine learning techniques to analyse the flux data and accurately classify stars as either exoplanet-hosting or non-exoplanet-hosting. By training a model on the provided dataset, we seek to uncover patterns and features indicative of exoplanet presence, enabling the model to make predictions on unseen data.

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