PRML algorithms implemented in Python

Handout for the tutorial "Creating publication-quality figures with matplotlib"

Colab Notebooks covering deep learning tools for biomolecular structure prediction and design

Examples of using deep learning in Bioinformatics

A walkthrough of transformer architecture code

Convolutional neural network analysis for predicting DNA sequence activity.

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

Making Protein Language Modeling Accessible to All Biologists

List of resources for learning bioinformatics, from beginner to advanced

Prize-Collecting Steiner Forests for Interactomes

Graph regularized nonnegative matrix factorization (GNMF) in Python

Results and data from the pilot round of the Protein Engineering Tournament

Code from the ML4MI Boot Camp.

Database of journal policies: TRANsparency in Scholarly Publishing for Open Scholarship Evolution

Jupyter Notebook Tutorials for Machine Learning in Chemistry (MLChem)

Getting to know the `Gen` probabilistic programming language