guzmanlopez
Senior Machine Learning Engineer • Python • R • FOSS • Linux • Geospatial
@tryolabs Montevideo, Uruguay
Pinned Repositories
ACRRF_course
Classification And Regression Trees and Random Forest with applications to Big Data - course
AED1
Mandatory project for Algorithms 1 Course
AISVMS_vis
AIS visualization from an interactive R and Shiny based web app using Material Design from Google.
aws-data-downloader
Download data from Automatic Weather Stations
Base-de-Datos-II
Trabajo final Obligatorio del curso Base de Datos II de la Universidad ORT - carrera Analista en Tecnologías de la Información
BathymetryModel
Valizas river (Uruguay - Lat: -34.358407, Lon: -53.844792) bathymetry model from BioSonics DT-X echosounder measured depths.
IntroductionToGeostatistics
Mandatory work for Introduction to Geostatistics course on University of Buenos Aires (UBA)
montevideo-bus-forecast
Predicción del flujo de pasajeros en las paradas de ómnibus del Sistema de Transporte Metropolitano (STM) de Montevideo
parallelizingAndClusteringInR
Perform parallel computing on clusters with R language
SST-MannKendallTrendAnalysis
Perform a Mann-Kendall Trend Analysis on Sea Surface Temperature (SST) time series data
guzmanlopez's Repositories
guzmanlopez/AISVMS_vis
AIS visualization from an interactive R and Shiny based web app using Material Design from Google.
guzmanlopez/IntroductionToGeostatistics
Mandatory work for Introduction to Geostatistics course on University of Buenos Aires (UBA)
guzmanlopez/aws-data-downloader
Download data from Automatic Weather Stations
guzmanlopez/parallelizingAndClusteringInR
Perform parallel computing on clusters with R language
guzmanlopez/BathymetryModel
Valizas river (Uruguay - Lat: -34.358407, Lon: -53.844792) bathymetry model from BioSonics DT-X echosounder measured depths.
guzmanlopez/montevideo-bus-forecast
Predicción del flujo de pasajeros en las paradas de ómnibus del Sistema de Transporte Metropolitano (STM) de Montevideo
guzmanlopez/SST-MannKendallTrendAnalysis
Perform a Mann-Kendall Trend Analysis on Sea Surface Temperature (SST) time series data
guzmanlopez/ACRRF_course
Classification And Regression Trees and Random Forest with applications to Big Data - course
guzmanlopez/AED1
Mandatory project for Algorithms 1 Course
guzmanlopez/Base-de-Datos-II
Trabajo final Obligatorio del curso Base de Datos II de la Universidad ORT - carrera Analista en Tecnologías de la Información
guzmanlopez/BathymetryInterpolation
River bathymetry interpolation methodology using R
guzmanlopez/BikeVirtualCommunitiesNetworkUY
guzmanlopez/codedeploy-codepipeline-node
Azat Mardan AWS course - Code Pipeline
guzmanlopez/ComplexNetworksCourse
Scripts from the course Complex Networks: Introduction to Big Data
guzmanlopez/currency-exchange-uy
Currency Exchange data for the most important currencies in Uruguay
guzmanlopez/dotfiles
Gruvbox inspired Arch Llinux i3wm rice.
guzmanlopez/EchoView-R-Functions
Functions in R language to work with Myriax EchoView native files or exported ones
guzmanlopez/GURU_slides_21082019
Presentación para encuentro de GURU (Grupo de Usuaries de R de Uruguay)
guzmanlopez/intro-colab-code
Introducción al versionado de código y trabajo colaborativo
guzmanlopez/LearningRust
Learning Rust programming language
guzmanlopez/mapboxValizas
Mapa de la batimetría del Arroyo Valizas en Mapbox
guzmanlopez/mlr3book
Introduction to mlr3
guzmanlopez/Modis
Esta aplicación le permite al usuario visualizar y descargar figuras MODIS del Río de la Plata junto con otras capas espaciales.
guzmanlopez/PAS-DINARA
Aplicación web para seguimiento del convenio PAS-DINARA
guzmanlopez/PLELog
Implementation of PLELog in ICSE 2021 accepted paper:Semi-supervised Log-based Anomaly Detection via Probabilistic Label Estimation.
guzmanlopez/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
guzmanlopez/pytorch_geometric_temporal
A Temporal Extension Library for PyTorch Geometric
guzmanlopez/R-vmsbase
VMSbase is an R suite for the analysis of vessel monitoring system (VMS) and logbook data, which constitute two of the primary sources of information for spatially explicit models of the fishing effort. It is conceived to solve many of the nuisance details related to this specific kind of data, providing a strainghtforward path from data massaging and management to sophisticated analyses and outputs.
guzmanlopez/StarFishNavigation
Extract Tritech StarFish 990F Sidescan Sonar navigation from Raw csv datafiles exported from ScanLine software
guzmanlopez/Zonas-Pesca-Artesanal
Mapa web interactivo de las zonas de pesca artesanal en Uruguay hecho con Leaflet