Name: J. C. Vasquez-Correa
Type: User
Company: Vicomtech
Bio: Speech and naturallanguage processing researcher, developer, passionate about programming, machine learning, and deep learning
Twitter: jcvasquezc1
Location: Donostia, Spain
Blog: https://jcvasquezc.github.io/
J. C. Vasquez-Correa's Projects
Feature extraction from speech signals based on representation learning strategies using pre-trained autoencoders
Code samples related to Building Better Bots published on the AI Blog
Visualization framework for motorcycle robery in Colombia, Highlighted project in #datosalaU contest from MinTIC in Colombia
Assistant Improve notebooks for Watson Assistant
A curated list of awesome Machine Learning frameworks, libraries and software.
Reto aprendizaje supervisado Colomb-ia
web page of the "conexion salud" project
Compute the Correlation Dimension of a Time Series
download, extract and process popular machine learning datasets with a single line of bash or python
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Lecture notes for the masters course Digital Signal Processing
feature extraction from speech signals
Official English Documentation of ImageAI
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
personal web page
This is the official location of the Kaldi project.
This repository allows to use kaldi to train an i-vector extractor and extract i-vectors through a python interface.
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.
A collection of Latinamerican Corpora, dictionaries to serve as resources for Text processing and Text mining.
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Notebooks from my talk in ML meetup 2017
Notebooks of talk november 11 Pereira (Colombia)
Toolkit to asses speech impairments in patients with neurological disorders
Ejercicios y Laboratorios del curso "Procesamiento digital de señales". Universidad de Antioquia, 2019-1
Ejercicios y Laboratorios del curso "Procesamiento digital de señales". Universidad de Antioquia, 2019-2
Keras-based python framework to compute phonological posterior probabilities from audio files