Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.

This is a demo project showing how to fine-tune and deploy the Whisper model on SageMaker.

Blog post on Medium

Tensor library for machine learning

Med-BERT, contextualized embedding model for structured EHR data

Open Source FHIR Server backed by MongoDB

Python package for machine learning for healthcare using a OMOP common data model

all scripts used in gatortron project

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

Instruct-tune LLaMA on consumer hardware

Code and documentation to train Stanford's Alpaca models, and generate the data.

Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.

HAPI FHIR - Java API for HL7 FHIR Clients and Servers

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)