There are 17 repositories under actuarial topic.
Actuarial reserving in Python
Python package of actuarial models, tools, examples and learning materials.
R-package for actuarial pricing
Financial and Actuarial Mathematics for Life Contingencies
Loss Data Analytics is an interactive, online, freely available text. It provides core training on one of the foundations of actuarial science, loss data modeling.
Python code examples to support the Python for Actuaries webinars sponsored by ACTEX Learning
Data and analytics cookbook for actuaries
All Python algorithms published by Open Source Modelling in one place.
Elizur is a finance library for actuaries, finance professionals, and students
Individual Claims Forecasting with Bayesian Mixture Density Networks
Popular way to model the yield curve called Nelson-Siegel-Svannson algorithm.
First open-source asset-liability model.
Data collection and exploratory analysis related to COVID-19 for general insurance actuaries and the public
Destruction rate modeling with the Maxwell Boltzmann Bose Einstein Fermi Dirac (MBBEFD) distribution
Solving Actuarial Math with Python
Life Insurance Premium and Reserves Valuation
Implementation of the Smith & Wilson algorithm for interpolation and/or extrapolation of missing interest rates in Python.
Automatically Download the Data Entrepreneurs Synthetic Public Use Files from Medicare
Python package for actuary to model and analyze simple products or for actuarial students to practice.
Loss Data Analytics is an interactive, online, freely available text. It provides core training on one of the foundations of actuarial science, loss data modeling.
All Matlab algorithms published by Open Source Modelling in one place.
Simple implementation of the one factor Hull-White model of short rates.
Reproducible data science techniques in actuarial work