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Hi!

I'm David (he/they). I currently work as ML Engineer for Idoven. Previously, I did research and wrote software for encoder-decoder deep learning architectures and their applications. My interests include data science, open-source, maths and (human and machine) languages, in no particular order. You can also check out my:

Here you will find the source code for most of my projects, including these featured ones:

David Charte's Projects

mxnet icon mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

open-access icon open-access

A study of challenges and initiatives for open access research

opendata icon opendata

R scripts for exploration and visualization of open data

osobot icon osobot

A Ruby bot which plays OSO, a simple strategy game.

pixelnet icon pixelnet

tensorflow implementation of pixelnet (http://arxiv.org/abs/1702.06506)

project.sh icon project.sh

A simple yet effective way to manage your C++ projects, right from shell.

q icon q

Easy q for anything: reading lists, pending tasks...

recursos icon recursos

Prototipo para el sitio de recursos de @libreim

ruby-ten-lines icon ruby-ten-lines

An introduction to the Ruby language in ten lines of code (in Spanish)

ruta icon ruta

Unsupervised Deep Architechtures in R

s4r icon s4r

Supervised complexity reduction autoencoder

seminario-ae icon seminario-ae

Introducción a autoencoders y aplicación a detección anomalías

slicer-conv icon slicer-conv

Convolutional Slicer applied to complexity reduction of COVID-19 chest X-rays

somachine2020 icon somachine2020

This repo hosts the conda environments and materials to be deployed at the spsrc

sorting icon sorting

A programming exercise on sorting algorithms.

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