Bruno Macedo's Projects
A toolkit for conducting machine learning tasks with time series data
Tópicos de análise de dados
Material and note of the course of Applied ML in Python
intro to electronics
basic Git installation for VSCode
a blinking LED activity as the intro for Arduino Code programming
breakout game from Vanilla Web Projects, click the link to run the program: https://jdevstatic.github.io/breakout-game/
My web site my life.
intro to C language and if you think C is dead, you are really wrong! so check this out,
Pretrained universal neural network potential for charge-informed atomistic modeling https://chgnet.lbl.gov
Disciplina de doutorado IMPA 2019.2 - Prof Vitor Rolla
This repo contains the code I wrote for my project, Using Convolutional Neural Networks to Identify Exoplanet Candidates From Imagery.
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
collection of topics for computer programming (for beginners)
The Python programming language
Repo for the Deep Learning Nanodegree Foundations program.
2021 Deep Learning and Applications de Prof. Cristian Lopez from La Salle Universidad
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
This repository contains implementations and illustrative code to accompany DeepMind publications
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
The Python developer's guide
assets from pandas tips videos
just sharing my personal experience in using different resolutions of different desktops (for productivity)
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.
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.