Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

Contrastive Language-Image Pretraining

Simple implementation of OpenAI CLIP model in PyTorch.

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Practical Guide to Applied Conformal Prediction, published by Packt

log anomaly detection via BERT

An open source implementation of CLIP.

Tutorials and implementations for "Self-normalizing networks"

Hopfield Networks is All You Need

🦔 Bayesian networks in Python

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

This is the source code for the paper 'Analysis and Prediction of Unplanned Intensive Care Unit Readmission'

Comprehensive Python Cheatsheet

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

Implementation and demo of explainable coding of clinical notes with Hierarchical Label-wise Attention Networks (HLAN)

A full spaCy pipeline and models for scientific/biomedical documents.

Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"

Simple transformer implementation from scratch in pytorch.

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

Source Code for 'AI for Healthcare with Keras and Tensorflow 2.0' by Anshik Bansal

FlexIble Data-Driven pipeLinE – a preprocessing pipeline that transforms structured EHR data into feature vectors to be used with ML algorithms. https://doi.org/10.1093/jamia/ocaa139

Code included in the book, PyTorch Pocket Reference

The source code for CVPR 2020 accepted paper "Recurrent Feature Reasoning for Image Inpainting"