A Deep Learning R Toolkit for Healthcare Applications.

Create beautiful, publication-quality books and documents from computational content.

This repository contains the code to replicate the data processing, modeling and reporting of our Holistic AI in Medicine (HAIM) Publication in Nature Machine Intelligence (Soenksen LR, Ma Y, Zeng …

Python workflow for generating benchmark datasets and machine learning models from the MIMIC-IV-ED database.

A benchmark for few-shot evaluation of foundation models for electronic health records (EHRs)

Training HuggingFace models on EHR data

verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

An educational resource to help anyone learn deep reinforcement learning.

[NeurIPS 2024 Datasets and Benchmark Track Oral] MedCalc-Bench: Evaluating Large Language Models for Medical Calculations

Official implementation of SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction

Code for the KDD'26 paper "ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?"

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparen…

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Schema definitions and Python types for Medical Event Data Standard, a standard for medical event data such as EHR and claims data

A curated list of resources for using LLMs to develop more competitive grant applications.

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

Chat Templates for 🤗 HuggingFace Large Language Models

Code for "EHR-DS-QA: A synthetic QA Dataset Derived from Medical Discharge Summaries for Enhanced Medical Information Retrieval Systems.

MedAlign is a clinician-generated dataset for instruction following with electronic medical records.

A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Instruct-tune LLaMA on consumer hardware

NVIDIA cuML: GPU-Accelerated Machine Learning

Build PyTorch CIFAR100 using coarse labels

Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.