A curated list of awesome Machine Learning frameworks, libraries and software.

Gateway into the John Snow Labs Ecosystem

Machine learning tools for biomarker analysis

This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A Machine Learning Perspective.

Multi Task Learning for sequence labeling tasks (e.g. NER).

A versatile tool to classify diseases using cluster analysis of published phenotypic data

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Code repository for deep clustering analysis of ICU data

Code for "Clustering Interval-Censored Data for Disease Phenotyping" (AAAI 2022)

using k-prototype algorithm on mixed-type medical data

Natural Gradient Boosting for Probabilistic Prediction

Subtyping of mild cognitive impairment

Models and examples built with TensorFlow

scikit-learn: machine learning in Python

A collection of machine learning examples and tutorials.

Gp progression model (Lorenzi et al NeuroImage 2017)