angeligareta/cheaper-travelling

Stars
9
Rank 1,939,727 (Top 39 %)
Language
Scala
License
MIT License
Created about 4 years ago
Updated almost 4 years ago

angeligareta/cheaper-travelling

angeligareta

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Project developed with Apache Spark and Kafka that works with different public streaming data APIs such as SkyScanner, GeoDB Cities, and Flixbus to consider more ways of travelling in a cheaper way.

Datasets2Darknet

Modular tool that extracts images and labels from multiple datasets and parses them to Darknet format.

image-captioning

Image Caption Generator implemented using Tensorflow and Keras in a Python Jupyter Notebook. The goal is to describe the content of an image by using a CNN and RNN.

Jupyter Notebook

SaferAuto

Modular system able to assist during driving 🚗, detecting road elements such as traffic lights 🚦 or traffic signs ⛔ and informing the driver of possible threats.

hey-nova-gpt-voice-assistant

Talk to your personal GPT Voice Assistant like Google Assistant or Alexa 🇪🇸🇬🇧, locally on your MacOS/Linux machine 🎤

image-colorization

This project aims to study the Image Colorization problem and implement a Convolutional Neural Network that is able to colorize black and white images using CIELAB color space.

Jupyter Notebook

blender-animation

Final project for 3D Graphics and Modelling course at University College Cork. It consists of a one-minute 3D animation using the open software Blender.

deepfakes-overview

Research whose goal is to introduce deep fakes, presenting the state-of-the-art implementations in the area and examples of what such technology is capable of doing.

Jupyter Notebook

woocommerce-to-google-sheets

Free alternative to Zapier-WooCommerce integration. This Google App Script saves the new WooCommerce orders in a general spreadsheet (the one where the script is applied), as well as in separated spreadsheets, one for each different order´s type. All of that in REAL TIME!

hash-code-2021

Solution for online qualification round of #HashCode2021, a Google programming competition to solve a team-based challenge.

restbot

Android chatbot implemented using Dialogflow, Firebase, and Kotlin. It aims to improve the experience of a customer that decides to eat in the restaurant.

LinkedinToCVWebsite

Retrieves data from your LinkedIn account and creates a customized professional online CV for you.

context-free-grammar

Program in C++ that reads a context-free grammar and removes the useless symbols and productions. After that, it generates a new simplified CFG in an output file.

spark-flight-prediction

Assignment for Cloud Computing And Big Data Ecosystems Design subject that aims to predict flight arrival time using Apache Spark and Scala.

pictograms-sentiment-analysis

Research to study how the inclusion of pictograms, such as emoticons and emojis, affects the sentiment analysis performed by machine learning classification algorithms.

Jupyter Notebook

data-mining-overview

Projects developed for the course Data Mining in KTH Royal Institute of Technology, including algorithms to find similar items, discover frequent itemsets, mine graph data streams and analyze graph spectra.

Jupyter Notebook

basic-text-mining-python

Assignment for Intelligent Systems course which aims to perform basic analysis on a provided corpus, researching state-of-the-art techniques for word cloud generation.

Jupyter Notebook

ulltimate-calendar

Example of landing page using the web technologies HTML, CSS, Javascript, Bootstrap, and Firebase.

hash-code-2020

Solution for online qualification round of #HashCode2020, a Google programming competition to solve a team-based challenge.

basic-statistics-r

Assignments for Statistical Data Analysis course at UPM including performing statistical analysis, multiple linear regression, and time series analysis.

natural-language-processing-r

Project for Intelligent Systems course which aims to give an overview of the basic steps to perform Natural Language Processing (NLP) with R programming language.

alcohol-consumption

Research about global alcohol consumption related with facts such as nutrition, poverty, or school grades. Results can be found on the website below.

angeligareta

Repository introducing myself to GitHub! 😄

spark-hadoop-hbase-overview

First lab for Data-Intensive Computing course at KTH where we are introduced to Apache Spark MLlib and Spark SQL, Hadoop, and HBase.

Jupyter Notebook

basics-web-development

Example of a Landing Page using the web technologies HTML, CSS, and Javascript.

finite-automaton-comparator

Implementation of a Finite Automaton Comparator in C++. The input finite automaton can be deterministic or non-deterministic.

image-segmentation-overview

Image Segmentation projects developed for the Image Processing, Analysis, and Classification course at UPM. Implemented using OpenCV and C++.

tuenti-challenge-2018

Participation in Tuenti Challenge 2018 competition where several programming challenges are presented to be solved individually.

battleship

Implementation of the infamous game Sink The Float in Prolog. Played against the machine but the board is only visible for it.

turing-machine

Implementation of a Turing Machine in C++, a model of computation that defines an abstract machine that manipulates symbols on a tape according to the machine rules.

deterministic-finite-automaton

Implementation of a DFA in C++. The program can read, show, minimize and export a DFA. Besides, it can show the dead states and analyze a string to see if it belongs to the DFA.

non-deterministic-finite-automaton

Implementation of a Non-deterministic Finite Automaton in C++. The program can show the dead states, check if the NFA is a DFA and analyze a string to see if it belongs to the NFA.

spark-kafka-cassandra-overview

Second lab for Data-Intensive Computing course at KTH where we use Apache Kafka, Spark, and Cassandra to practice stream processing.

Jupyter Notebook

mano-recognition

Project for detecting a hand using any web camera and its fingers and gestures. It's implemented using C++ and the OpenCV library.

machine-learned-ranking

Assignment for Deep Learning course at UPM which aims to rank queries based on the paper Optimizing Search Engines using Clickthrough Data.

Jupyter Notebook

machine-learning-spark

Assignment for Scalable Machine Learning which aims to study the basics of regression and classification in Spark.