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A list of Free and Open Source Software (FOSS) for Android – saving Freedom and Privacy.
🔎 Open source distributed and RESTful search engine.
Auto_Jobs_Applier_AI_Agent aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in an automated an…
An API wrapper for Discord written in Python.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Bring projects, wikis, and teams together with AI. AppFlowy is an AI collaborative workspace where you achieve more without losing control of your data. The best open source alternative to Notion.
Tools for creating and working with aggregate probability distributions.
Functions from the book "Reinsurance: Actuarial and Statistical Aspects"
Actuarial analysis with open source software
property casualty insurance and actuarial projects
Personal notes for anything related to studying, mainly for actuarial exams.
Open-source stochastic economic scenario generator.
Excel and MS Access for Actuarial Science course
The research activities in this repository focuses on actuarial science in general and is the result of my curiosity and my education at Université Laval.
A lightweight actuarial modelling framework for Python
Welcome to the AI-Actuarial-Use-Cases repository! This is a collaborative space that focuses on the exploration and documentation of use cases for Artificial Intelligence (AI) within the field of a…
R and python files of Actuarial Science class (2023-2026)
R and Python files of the bachelors Actuarial Science at the University of Amsterdam 2023/2026
Extracting Structured Data from Actuarial Exam Documentation
This project provides interactive, online, freely available texts. Our first effort, *Loss Data Analytics*, provides core training on one of the foundations of actuarial science, loss data modeling.
This is our code for an actuarial model. The main objectives are distribution fitings, Risk class clustering and hypothesis testing.
Datasets for the book Computational Actuarial Science with R
Attempt to duplicate claims liability reserving with agentic AI.
Dashboard to monitor various actuarial experience
It is a repository for understanding and applying different stochastic methods in data and actuarial sciences.