El objetivo de este repositorio es brindar un apoyo a la comunidad interesada en mejorar sus técnicas en el lenguaje de programación R o emprenderlo desde un punto de vista muy aplicado. Un repositorio con códigos de R para aplicaciones actuariales: probabilidad, estadística, riesgo y finanzas.
R package for insurance pricing and tariff modeling
Tools for creating and working with aggregate probability distributions.
An open-source Python framework for actuarial cash flow models
A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.
DeepTriangle: A Deep Learning Approach to Loss Reserving
A curated collection of actuarial AI case studies covering machine learning, generative AI, agentic AI, and more, designed to support actuaries in applying AI to real-world problems.
Life Actuarial Maths
Common functions in actuarial and financial routines
Fit and compare the most popular human mortality laws - R package
Systemorph IFRS 17 Calculation Engine
Easily Reference and use Actuarial Mortality Tables
Repository of GEMAct source code. Enjoy!
R package for spatial risk analytics
Python package to solve actuarial life-contingent risks
Examples and Tutorials using JuliaActuary packages.
Individual claims history simulation machine
An R package, plumber API, database, and Shiny App for Actuarial Loss Development and Reserving Workflows.
A resource hub with tutorials and guides helping actuaries use AI tools—including chatbots, coding assistants, data analysis tools, and automation frameworks—effectively in their work.
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