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Hi there, I'm Camilo 👋

banner that says Camilo Vasquez - Machine learning researcher interested in signal and natural language processing

I have performed research and development activities related to signal processing and machine learning for health-care and biometric applications since five years now, both in academic and industrial partners. Passionate about Machine learning, deep learning, speech processing, and natural language processing technologies. Some technologies I enjoy working and I am familiar with include Pytorch, Transformers, Sklearn, Pandas, FastAPI, Docker, among others.

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Find me around the web 🌎:

J. C. Vasquez-Correa's Projects

aespeech icon aespeech

Feature extraction from speech signals based on representation learning strategies using pre-trained autoencoders

anmoto icon anmoto

Visualization framework for motorcycle robery in Colombia, Highlighted project in #datosalaU contest from MinTIC in Colombia

corr_dim icon corr_dim

Compute the Correlation Dimension of a Time Series

dataget icon dataget

download, extract and process popular machine learning datasets with a single line of bash or python

images_deep_transition icon images_deep_transition

This is a complementary material of the paper "Multimodal assessment of Parkinson’s disease: a deep learning approach" submitted to IEEE transactions on Biomedical engineering

kaldi icon kaldi

This is the official location of the Kaldi project.

kaldi-ivectors-for-python icon kaldi-ivectors-for-python

This repository allows to use kaldi to train an i-vector extractor and extract i-vectors through a python interface.

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

ml_pereira icon ml_pereira

Notebooks of talk november 11 Pereira (Colombia)

neurospeech icon neurospeech

Toolkit to asses speech impairments in patients with neurological disorders

pds2019.1 icon pds2019.1

Ejercicios y Laboratorios del curso "Procesamiento digital de señales". Universidad de Antioquia, 2019-1

pds_2019.2 icon pds_2019.2

Ejercicios y Laboratorios del curso "Procesamiento digital de señales". Universidad de Antioquia, 2019-2

phonet icon phonet

Keras-based python framework to compute phonological posterior probabilities from audio files

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