Project directory

Registry of LLMs pretrained from scratch by universities, non-profit research institutes, and national laboratories

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This repository contains simple examples showing how to use the OpenAI API to communicate with LLM Factory Endpoints for various AI tasks.

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Code assoicated with https://arxiv.org/abs/2308.01727

In this example, we show how to use Ignite to finetune a transformer model:

Single-protocol benchmark for chest-CT foundation models: one frozen-probe protocol, shared patient-disjoint splits, bootstrap CIs, every encoder probed by the same harness

Training code and model release for DALE-CT (Depth-Aware Latent-Euclidean Computed Tomography) — a family of 2D slice-based Vision Transformers trained entirely from scratch on …

CLASSify is a self-service machine learning platform developed by Aaron Mullen for the Center for Applied Artificial Intelligence located at the University of Kentucky. The …

Predict them beats

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OpenSlide is a C library for reading whole slide image files (also known as virtual slides). It provides a consistent and simple API for reading files from multiple vendors.

This library allows python applications to deidentify WSI

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Combination of EEG and video rat seizure methods

https://eeg2025.github.io/

Imagination-based UAV world model (LeWM, JEPA+SIGreg): imagines future danger from drone-POV video so a CEM planner proactively avoids turret threats before single-frame detection …

VOC/smell data from ~April 2025 to September 2025 recorded by Robot Temi

Extract UE 4.24.3 UKy Campus LiDAR point cloud + DTM terrain tiles + aerial imagery into open formats and view them in an interactive Three.js web viewer — no Unreal Engine …

HAVOC is an advanced Android application designed to transform the Temi robot into an autonomous healthcare assistant. The project leverages Large Language Models (LLMs), …

This project is a monitoring system for the Healthcare Assistant with Video, Olfaction, and Conversation (HAVOC) program running on the Temi robot. It uses computer vision and …

Unless otherwise noted, this work is derived from the Institute for Biomedical Informatics Innovation Core at the University of Kentucky.

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Manipulating an AirSim simulation remotely and extracting video

Lex Traffic + YOLO

This repository contains multiple Python scripts utilizing the YOLO model for various real-time object detection and pose estimation tasks, including fall detection and general …

In this example, we show how to use Ignite to train a neural network:

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Once the module is enabled for a project, make sure to select Manage on the left-hand control panel for the project in the External Modules tab. Then select Configure for Flight …

SOAP Note Flutter App

Web

This is a fork of Alishahryar1/free-claude-code, maintained by Evan Damron. It adds an openai_compatible provider that points FCC at any OpenAI-compatible Chat Completions …

Interview-driven setup kit: an AI agent builds you a provenance-tagged knowledge wiki + layered instruction stack for Claude Code, Codex, and free-claude-code, across any number …

Interactive 3D depth-surface visualizations of endoscopy images and video, viewable in any browser. Two scripts, each producing a self-contained Plotly HTML file you can rotate, …

Purpose: This guide explains how to deploy a Digital Slide Archive (DSA) instance, from a quick container-based startup to production-scale deployment considerations. It is …

A conversational AI assistant for futuriti.org that helps Kentucky students and adults explore careers, education programs, and living wages through natural conversation.

A High-Performance, Asynchronous AI Compliance Proxy.

Calculate CMS Hospital STAR Rankings

Juptyer Notebooks with example AI trainings

Repo for the LLM work for the RADOR project, like using DeepSeek to help users navigate the dashboard site.

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In digital_slide_archive/devops/dsa/provision.yaml, set the following:

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This library allows python applications to interface with the CAAI Embedding service.

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This tutorial contains a baseline method of Multiple Instance Learning (MIL) classification from Whole Slide Images (WSI). The dataset is from Prostate cANcer graDe Assessment …

Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface

Optimizing BrainSec

VIVO is an extensible semantic web application for research discovery and showcasing scholarly work

Note: when running commands in docker, your .env needs to have the PGSQL host as db. When running code from the terminal here, you need the .env to reflect the host as localhost.

Unified Training of Universal Time Series Forecasting Transformers

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

An LLM-based system which retrieves clinical trials from clinicaltrials.gov and matches them to patient data.

PyTorch code and models for the DINOv2 self-supervised learning method, own data set and own adapted training.

Patch for DinoV2 training code to support PyTorch 2.4

WebSAM for UKHC is a three part package:

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

WARC + AI - Experimental Retrieval Augmented Generation Pipeline for Web Archive Collections.

Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas

This repo holds the documentation for REDCap's External Module Framework

Automated deployment of REDCap with Azure Blob storage as the storage back-end

Detecting Lex traffic using YOLOv7

A high-throughput and memory-efficient inference and serving engine for LLMs

MONAI Label is an intelligent open source image labeling and learning tool.

Conversion tool/library for converting whole slide images to DICOM

C library for reading virtual slide images

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

iSyntax to raw format converter

Raw format to OME-TIFF converter

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.