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Name: Ignacio Talavera

Type: User

Company: UPV/EHU & Argilla

Bio: I'm a Spanish Computer Scientist, currently studying an MSc in NLP at UPV/EHU. Interested in AI & Deep Learning.

Location: Donostia-San Sebastián, Euskal Herria

Blog: https://www.linkedin.com/in/ignacio-talavera-cepeda/

¡Hola!👋 I'm Ignacio.

👋 I'm an MSc student in Language Analysis and Processing at Euskal Herriko Unibertsitatea/Universidad del País Vasco. I live, study, work, enjoy the beach and have fun in Donostia-San Sebastián, in the Basque Country.
🧑🏼‍💻 I believe that we, the CS folks, should work towards enhancing human life. That's why I mainly focus on AI & Data Science, especially Deep Learning and Natural Language Processing.
🌱 And, outside of my computer, I love Liberal Arts and Humanities. I almost studied something along that line as my BSc! I have been lucky enough to be able to also educate myself in topics like Languages, Mythology, Anthropology, History and European Culture. That's why NLP was love at first sight.
✊🏽 Deep Learning and NLP are amazing tools to fight for social causes. During my BSc and my internship in Recognai, I worked on Misogyny Detection using Transformers. Thanks to a lot of amazing people, I made two theses on the topic, and I'm quite proud of them. You can check it out here and here.
☄️ Alongside my education, I've spent some time volunteering, focusing on empowering people. In UC3M, I have helped in Technovation Challenge, trying to help high school girls interested in STEM to learn the basics of programming. I was also an organizer at IT Camp for Piger in Aarhus Universitet, a three-day camp where young girls interested in CS can get a bite on what we study and meet some relevant women figures in the Danish industry and academia. I also write, translate and proofread for the Spanish edition of Last Week in Denmark, where we make it easy for the 11% of internationals in the country to read about what happens in Politics, Economy, Society, and Culture.
🌟 In my free time, I like to travel, hike, climb, write, read, run and discover new places.
📫 You can reach me via [email protected] ✉️ or LinkedIn 🤝.

Ignacio Talavera's Projects

a-cspscheduling

Implementation of a CSP Scheduler and A* algorithm to solve schedulings problems and a travelling salesman problem

argilla

✨Argilla: the open-source feedback platform for LLMs

biome-text

Custom Natural Language Processing with big and small models 🌲🌱

cantemist-ner

Recognai's contribution to the CANTEMIST NER track

deep-learing-for-visual-recognition-2022

gameoflife

Project about Conway's Game of Life for Advanced Theory of Computation, 4th Course of Computer Science

geneticalgorithms

Collection of some techniques of Evolutionary Computation implemented in Python

javabomberman

University OOP Project. Implemented in Java.

llama_index

LlamaIndex is a data framework for your LLM applications

medicalinformationextractionusingnlp

Repository for my MSc Thesis: Automatic Extraction of Information from Medical Publications using NLP, done in Aarhus University

Repo for the back translation project done as a COMPLETE project for Computational Morphology. We use back translation techniques to create synthetic data for training morphological inflection systems in the Danish language.

os-process-scheduler

Design and tests of a fully developed process scheduler in C++ managing collision of asteroids. The program should return the same results as an accurate simulation of colision with asteroids that is already coded and given..

pokeresolution

Repository for the project of Juan, Rafa and Ignacio of Deep Learning for Visual Recognition. Super Resolution applied to Pokemon images.

quotebot

A Twitter bot to tweet quotes every X hours

selfinstructprojectehu

This is a repository for the final project of Deep Learning in the NLP MSc programme at UPV/EHU, in which I cover the Self-Instruct framework.

sportclassifier

CNN implemented with TensorFlow to classify sport images

stockdashboard

Personal Stock Dashboards made using Python and Streamlit

sytaxposproject

temis

Temis is an Automatic Misogyny Identification tool. Using Deep Learning models, it can be used to predict whether a text contains misogyny, which type it is and to whom it is targetted.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

visualization-epub

Researching on the inclusion of Data Visualisation in the EPUB format

ignacioct Goto Github PK

¡Hola!👋 I'm Ignacio.

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