aerdely Goto Github PK
Name: Arturo Erdély
Type: User
Company: Universidad Nacional Autonoma de Mexico
Bio: Professor, Ph.D in Statistics.
Twitter: ArturoErdely
Location: Mexico
Arturo Erdély's Projects
18330
18.330 Intro to Numerical Analysis
6s083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
abstracttrees.jl
Abstract julia interfaces for working with trees
advancedscientificcomputing
A short course on Julia and open-source software development
aerdely.github.io
algforopt-errata
Errata for Algorithms for Optimization book
algforopt-notebooks
Jupyter notebooks associated with the Algorithms for Optimization textbook
applicationbuilder.jl
Compile, bundle, and release julia software
avocado.it
Paquete de extracción de datos web en Julia
bayesian-statistics
This repository holds slides and code for a full Bayesian statistics graduate course.
bayesoptbook.github.io
Companion webpage for the book "Bayesian Optimization" by Roman Garnett
benchmarktools.jl
A benchmarking framework for the Julia language
bible-json
Biblia Reina Valera 1960, organizada cada capítulo en un archivo de JavaScript que exporta por defecto un arreglo de arreglos, cada arreglo representa un capítulo.
binarybuilder.jl
Binary Dependency Builder for Julia
cairo.jl
Bindings to the Cairo graphics library.
causal_inference_julia_code
Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
cmbtn.jl
combinatorics.jl
A combinatorics library for Julia
compose.jl
Declarative vector graphics
copulas.jl
Copula implementation based on the c++ VineCopulaCPP library of Malte Kurz
covid
Análisis municipal de los datos abiertos sobre COVID-19 en México
covid-19-data
Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data
covid_plots
Análisis con datos de COVID19
crayons.jl
Colored and styled strings for terminals.
csv.jl
Utility library for working with CSV and other delimited files in the Julia programming language
cursodgapa2022
Probabilidad y Estadística con Julia
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
data-parallelism
dataframes
Welcome to DataFrames.jl with Bogumił Kamiński
dataframes.jl
In-memory tabular data in Julia
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