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    • A module for the representation and manipulation of insurance loss triangles.
      Python
      MIT License
      01540Updated Apr 3, 2026Apr 3, 2026
    • Claude Library
      TypeScript
      0000Updated Mar 6, 2026Mar 6, 2026
    • A full-stack Google Docs clone with real-time collaboration, commenting, advanced text editing (Tiptap), and a template gallery. Next.js 15, React 19
      TypeScript
      30000Updated Mar 4, 2026Mar 4, 2026
    • Python interface to Ledger Investing's analytics infrastructure
      Python
      MIT License
      0103Updated Dec 19, 2025Dec 19, 2025
    • Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stacking, and more!
      Python
      MIT License
      13660Updated Dec 19, 2025Dec 19, 2025
    • Materials for the Bermuda workshop at CLRS 2025
      Jupyter Notebook
      0000Updated Sep 8, 2025Sep 8, 2025
    • Repository containing scripts to reproduce the Bayesian workflow examples in Haines, Goold, & Shoun (2024)
      Python
      MIT License
      1600Updated Jul 8, 2025Jul 8, 2025
    • Code and data to reproduce results in 'Joint estimation of insurance loss development factors using Bayesian hidden Markov models'
      TeX
      0000Updated May 9, 2025May 9, 2025
    • Example Loss Triangle Visualizations for Casualty Insurance
      R
      MIT License
      0100Updated May 6, 2025May 6, 2025
    • A simple Node app to automatically backup PostgreSQL databases to an S3 bucket
      TypeScript
      164000Updated Aug 29, 2024Aug 29, 2024
    • Repository containing scripts to reproduce the insurance loss development and forecasting examples in Haines & Goold (2024)
      Python
      MIT License
      0200Updated Apr 30, 2024Apr 30, 2024
    • commuter

      Public
      🚎 Notebook sharing hub
      JavaScript
      BSD 3-Clause "New" or "Revised" License
      66000Updated May 6, 2022May 6, 2022
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