Tools for creating and working with aggregate probability distributions.
Life Actuarial Maths
An open-source Python framework for actuarial cash flow models
All Python algorithms published by Open Source Modelling in one place.
Easily Reference and use Actuarial Mortality Tables
Examples and Tutorials using JuliaActuary packages.
A handy tool for actuarial modeling, which is designed to achieve both accuracy and accountability.
Data collection and exploratory analysis related to COVID-19 for general insurance actuaries and the public
Classification of reserve risk with chain-ladder
Python package to solve actuarial life-contingent risks
Multi-Population Mortality Modeling With Neural Networks
All Matlab algorithms published by Open Source Modelling in one place.
n dimensional Brownian motion with an arbitrary mean and Variance Covariance matrix.
All JavaScript algorithms published by OSM in one place.
All Jupyter Notebooks implemented by Open Source Modelling in one place.
Popular way to model the yield curve called Nelson-Siegel-Svannson algorithm.
Black and Sholes model for simulating the stock market in Python.
Generate correlated Brownian motions in JavaScript.
Validation checks for EIOPA technical submissions written and documented in Jupyter notebooks.
This will house subprojects associated with research papers sponsored by the CAS
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