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cda-core-2.0

Latest CDA Schema and FHIR Logical model for CDA (supports the CCDA on FHIR guide, and other CDA/FHIR mapping projects)

cda-to-fhir-mapping

Maps (FHIR Mapping Language) to transform documents from CDA to FHIR and back - Forked from the ahdis project

cda-to-fhir-matchbox-server

Mapping Engine for Translation Tests

chainlit

Build Python LLM apps in minutes ⚡️

chainlit-cookbook

Chainlit's cookbook repo

comp90051-a1-team-8

Repo for a1 code

cooperative-coevolution-python

Cooperative Coevolution with RCGA

decomposed-mcmc

Using Markov Chain Monte Carlo to adapt decomposed neural network components for time series prediction

fhir-us-core

FHIR R4 version of US Core IG

health-cards

Health Cards Framework: implementation guide and supporting material

health-cards-dev-tools

Developer tools for validating SMART Health Cards

health-cards-walkthrough

learning-azure-devops

Web Apps, Azure Functions, and AKS clusters, all using the Azure Pipelines workflow. Topics that we'll cover include: * Deploying an ASP.NET Application and Database to Azure App Services * Deploying to AKS, Azure Functions, and Azure Container Registry * Using Jenkins and Azure DevOps together * Azure DevOps CLI * Pipeline Build Templates * Self-Hosted Build Agents * Deployment Groups * Using Terraform in the Pipeline to create infrastructure in Azure * Build Artifacts

learning-azure-docker-containers

Learning environment for docker containers.

learning-nodejs-simple

The default example from Nodejs documentation. Create a nodejs web server and run a simple .js file.

llama.cpp

Port of Facebook's LLaMA model in C/C++

meme-collection-seq

Sequential Meme Collection

sample-ig

A sample, template-driven implementation guide that provides instruction on creating IGs

stochastic-gradient-descent-neural-networks

Stochastic Gradient Descent via Backpropagation on a Feedforward Neural Network. Tested on time series problems

temp-doe83

trickleice_webrtctesting

WebRTC Web demos and samples

tutor-uom-comp90024

Demo Code for Subject COMP90024