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Tomás Capretto's Projects

arviz icon arviz

Exploratory analysis of Bayesian models with Python

bambi icon bambi

BAyesian Model-Building Interface (Bambi) in Python.

cv icon cv

This repository contains my Curriculum Vitae

density_estimation icon density_estimation

This repository contains notebooks with different probability density function estimators.

exchange-rate-page icon exchange-rate-page

Pagina web que absorve para ver las contizaciones en base a una moneda en una fecha seleccionada, adhquiere los datos de la API de exchangerate.host

formulae icon formulae

An implementation of Wilkinson's formula language for statistical models à la lme4 with some cool additions

formulaic icon formulaic

A high-performance implementation of Wilkinson formulas for Python.

gsoc icon gsoc

NumFOCUS Google Summer of Code Materials

ifuns icon ifuns

Shiny application to interactively visualize univariate functions

kdepy icon kdepy

Kernel Density Estimation in Python

matplotlib_tutorial icon matplotlib_tutorial

This repository contains Python notebooks I create as I follow the Matplotlib Tutorial posted by Corey Schafer in his YouTube channel.

multilevel-glm-in-python icon multilevel-glm-in-python

Collection of scripts that show different possibilities how to fit multilevel generalized linear models in Python.

multivariado3m icon multivariado3m

Doctorado en Estadística - UNR - Análisis de datos multivariado a tres modos

patsy icon patsy

Describing statistical models in Python using symbolic formulas

phaser icon phaser

Development version of phaseR, an R package for phase plane analysis of one- and two-dimensional autonomous ODE systems

playwithregression icon playwithregression

A Shiny application to play with simple linear regression fit via Least Squares method

pymc icon pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

rbingo icon rbingo

Un sistema para administrar y jugar partidas de Bingo hecho en Shiny

samp icon samp

Shiny application to visualize sampling distributions

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