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Nuno Ramos Carvalho
Nuno Ramos Carvalho

42 Followers

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Mar 16, 2020

Hunting Exoplanets in Kepler Data — Introducing the lightkurve package

Exoplanets are planets that live outside our Solar System. This post briefly introduces processing Kepler data using the lightkurve Python package, to study exoplanets. Introduction The transit method is currently one of the most popular indirect methods used to discover exoplanets. In a nutshell, it consists in analysing the brightness variation…

Exoplanets

4 min read

Hunting Exoplanets in Kepler Data — Introduction to lightkurve
Hunting Exoplanets in Kepler Data — Introduction to lightkurve
Exoplanets

4 min read


Aug 19, 2019

Question-Answering Model Fine-Tuned for Portuguese

This post introduces qaptnet, an instance of Google’s BERT model, fine-tuned for performing question-answering tasks in Portuguese text. — The model is trained on a dataset of contexts, questions, and corresponding answers written in Portuguese. The output of the model is the span of text in the context that answers the proposed question. For example. given the following context: context = 'Arquitetonicamente, a escola tem um caráter católico. No…

Pln

3 min read

Question-Answering Model Fine-Tuned for Portuguese
Question-Answering Model Fine-Tuned for Portuguese
Pln

3 min read


Jun 17, 2019

Galaxies Morphology Classification Using Convolutional Neural Networks

The Universe is made of clusters of millions of galaxies of different shapes and sizes. The study of galaxies and their evolution plays an important role in understanding how the Universe works. The classification of galaxies it’s useful while studying how galaxies are formed, and how they evolve. Current surveys…

Machine Learning

4 min read

Galaxies Morphology Classification Using Convolutional Neural Networks
Galaxies Morphology Classification Using Convolutional Neural Networks
Machine Learning

4 min read


May 4, 2019

World Cities Clustering Based on Places of Interest

The goal of this analysis is to group cities from around the world, that offer similar trends of points of interest to their visitors. This kind of model can be useful for travel agencies devising targeted promotions for returning customers, or if you are planning your next vacations for example…

Machine Learning

3 min read

World Cities Clustering Based on Places of Interest
World Cities Clustering Based on Places of Interest
Machine Learning

3 min read


Jan 19, 2019

Predicting Pulsar Stars Using Neural Networks

Neutron stars are dense and hot objects, they provide unique opportunities to study the laws of physics in extreme conditions. Pulsars are highly magnetized neutron stars that rotate very fast and yield detectable periodic strong radio emissions. Modern pulsar surveys produce large volumes of data, the process of manually labeling…

Machine Learning

3 min read

Predicting Pulsar Stars Using Neural Networks
Predicting Pulsar Stars Using Neural Networks
Machine Learning

3 min read


Oct 31, 2018

Goodbye Kepler, and thanks for all the fish

After nine years of hard work the planet hunter Kepler, a space telescope launched by NASA in 2009, is retiring. The space telescope ran out of fuel after completing 2 missions, providing a total of 678 GB of data. Detecting planets outside our solar system directly is hard, because when…

Astronomy

2 min read

Goodbye Kepler, and thanks for all the fish
Goodbye Kepler, and thanks for all the fish
Astronomy

2 min read

Nuno Ramos Carvalho

Nuno Ramos Carvalho

42 Followers

https://nunorc.github.io

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