AstraZeneca

A general purpose recommender metrics library for fair evaluation.

A PyTorch based deep learning library for drug pair scoring.

A collection of research papers and software related to explainability in graph machine learning.

Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring."

Programs to calculate phys-chem properties of synthetic peptides and proteins: isoelectric point and extinction coefficients.

A package and environment manager for R

code for Gogleva et al manuscript

Example notebooks that illustrate how to generate knowledge-based features. Features can be used in a variety of ML models, including recommender systems.

The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"

Multivariate data analysis (MVDA) exploration tool is a Python library utilizing the scikit-learn library for partial least squares (PLS) and principal components analysis (PCA).