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Hi, I'm Macarena 馃憢

Linguist currently living in Buenos Aires. I'm also interested in Programming, Statistics and Math. So I'm doing a Master in Data Science and working with NLP. Besides work, I like reading, gardening and practicing yoga.

  • 馃敪 I鈥檓 currently working as Machine Leaning Engineer
  • 馃懐 I鈥檓 looking to collaborate on open source projects and to improve linguistic resources for spanish from R铆o de La Plata
  • 馃挰聽 Contact me in spanish, english or german

Macarena's Projects

diseno-y-logica icon diseno-y-logica

This guide will be used to introduce basic statistics topics during the course "Estad铆stica y probabilidad: aplicaciones en la ling眉铆stica" at the Faculty of Philosophy and Literature of the University of Buenos Aires.

glove icon glove

GloVe model for distributed word representation

leetcode icon leetcode

:lock_with_ink_pen: My Python solutions for LeetCode problems.

nlp-with-pytorch icon nlp-with-pytorch

C贸digo y ejercicios realizados a partir de la lectura de Natural Language Processing with Pytorch, de D. Rao y B. McMahan

pln-uba2018 icon pln-uba2018

Repositorio para la realizaci贸n de los Trabajos Pr谩cticos de la materia Procesamiento de Lenguaje Natural, dictada en febrero de 2018 en el marco del Programa de Profesores Visitantes del Departamento de Computaci贸n de la UBA.

prince icon prince

:crown: Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

rasa icon rasa

馃挰 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

rest-api-tutorial icon rest-api-tutorial

Code for "Python REST APIs With Flask, Connexion, and SQLAlchemy" tutorial (by Philipp Acsany).

seminario-gramaticas-formales icon seminario-gramaticas-formales

Repositorio con materiales para la cursada del seminario sobre implementaci贸n computacional de gram谩ticas formales en la carrera de Letras de la Facultad de Filosof铆a y Letras de la Universidad de Buenos Aires.

sif icon sif

sentence embedding by Smooth Inverse Frequency weighting scheme

simplenn icon simplenn

Learn how modern, modular Neural Networks work by implementing a PyTorch/Keras-like framework.

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