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1. babybert babybert Public

   Minimal PyTorch implementation of BERT model with usage examples.

   Python

2. tuatara tuatara Public

   Generates high-quality fine-tuning pairs for large language models (LLMs) from unstructured documents.

   Python

3. KU-AI4H/RePrompT KU-AI4H/RePrompT Public

   [ACL Findings 2026] Official Implementation of "RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models"

   Python 1

4. uqlm uqlm Public

   Forked from cvs-health/uqlm

   UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

   Python

5. llmify llmify Public

   Tired of boring, deterministic function behavior? Enter llmify: an LLM-powered function executor! What could go wrong?

   Python

6. scrape-summarize-app scrape-summarize-app Public

   Leverages web scraping and LLM summarization to provide concise descriptions of recent AI publications.

   Jupyter Notebook 1