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Achievements

Achievement: Pull SharkAchievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Starstruckx2
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bradleypallen/README.md

Below are repos addressing a number of topics such as conceptual engineering using large language models (LLMs), using LLMs to evaluate knowledge graphs (KGs) in the context of KG refinement, the detection of hallucinations using LLMs (for the SemEval-2024 Task-6 SHROOM competition), a linked data catalog of my William S. Burroughs collection, the calculation of Texas Hold'Em hand win percentages, and a trainer for John Horton Conway's Doomsday algorithm.

Pinned

  1. evaluating-kg-class-memberships-using-llms evaluating-kg-class-memberships-using-llms Public

    Code and data for experiments on the evaluation of class membership relations in knowledge graphs using LLMs

    Jupyter Notebook 1

  2. zero-shot-classifiers-for-conceptual-engineering zero-shot-classifiers-for-conceptual-engineering Public

    Experiments with conceptual engineering using an LLM-based implementation of Jennifer Nado's classification procedures.

    Jupyter Notebook 2

  3. shroom shroom Public

    SemEval 2024 Task 6 (SHROOM) entry

    Jupyter Notebook

  4. wsb-collection wsb-collection Public

    The William S. Burroughs Collection of Bradley P. Allen

    HTML

  5. texasholdem texasholdem Public

    Code for the determination of hand ranks and values in Texas Hold'em

    Jupyter Notebook

  6. doomsday doomsday Public

    A Doomsday rule algorithm utility and trainer

    Python 7 8