fredymad,github

aaii

artificial-intelligence-and-data-science-pro

Regularly Updated | Collection of the best Data Science and AI Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet

awesome-ehr-deeplearning

Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.

bioscope

Reading and enriching the Bioscope corpus using Python/NLTK/External tools

blackhole

BlackHole is a modern macOS virtual audio driver that allows applications to pass audio to other applications with zero additional latency.

brat-and-snorkel

Supporting files

cgm-remote-monitor

nightscout web monitor

clin_x

Resources related to our paper "CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain"

conlleval

conlleval in Python (script for chunking/NER evaluation)

data-science

:bar_chart: Path to a free self-taught education in Data Science!

data-science-cheatsheet

A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between.

deep_clinical_forecasting

diagnosisextraction_ml

Pipeline for building Machine Learning Classifiers for the diagnosis of EHR text-data. We used this pipeline for our study, published here: https://doi.org/10.2196/23930.

dlbook_notation

LaTeX files for the Deep Learning book notation

dm-ebook

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

ehost

eHOST: The Extensible Human Oracle Suite of Tools an open source annotation tool (With UX improvements)

fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

fhir-101

🔥 FHIR 101 - A Practical Guide

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.