Bastián González-Bustamante's repositories
academic-kickstart
Code of my website
COVID-19-South-America
COVID-19 Pandemic in South America
CV-XeLaTeX
My CV typed in XeLaTeX
CPS-Ranking
Chilean Political Science Impact Ranking
chilean-ministers
Data Set on Chilean Ministers (1990-2014)
v-ink-flavoured
Vibrant Ink Flavoured RStudio Theme
chilean-undersecretaries
Data Set on Chilean Undersecretaries (1990-2022)
twConstitution
Twitter Online Tracker of the Chilean Referendum for a New Constitution
demo-regularisation
Regularisation and Cross-Validation of Determinants of Egalitarian Democracy: Demonstration for R
Public-Presentations
Recent Presentations by Bastián González-Bustamante
publicationclassificationlabeling
Java package for obtaining labels for clusters of scientific publications.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Becas
Registro de becas adjudicadas por la Agencia Nacional de Investigación y Desarrollo.
bgonzalezbustamante.github.io
My GitHub Page
classicnets
The goal of classicnets is to make available, compile and conserve classic data of social networks.
Colaboracion_Institucional
Bases de datos de instituciones asociadas a proyectos adjudicados entre el 2016 al 31 de diciembre 2022.
cpr2022
Propuesta de Constitución Política de la República de Chile 2022 en formatos Markdown y JSON para la creación de herramientas de exploración, análisis y consulta.
Creative-Commons-Markdown
Markdown-formatted Creative Commons licenses
ergms-rlars-2021
Workshops Exponential Random Graph Models (RLARS 2021)
latex
🧛🏻♂️ Dark Theme for LaTeX
local-gov-indicators
Data Set on Local Government Indicators in Chile
online-tools
Online tools provides md2, md5, sha1, sha2, sha512, bas64, html encode / decode functions
Palabras_claves
Registro de palabras claves declaradas en postulaciones ANID
ParlaMint
ParlaMint: Comparable Parliamentary Corpora
Postulaciones
Registro estadístico de postulaciones, para concursos adjudicados por ANID entre el 2016 y el 2020.
quant-methods-elites
Quantitative Methods for Studying Elites: Demonstration for R
ResponsibleML-UseR2022
Materials for ,,Introduction to Responsible ML at UseR!2022''
RML
The Hitchhiker’s Guide to Responsible Machine Learning
umwe
Unsupervised Multilingual Word Embeddings (EMNLP 2018)