The Surprising Creativity of Digital Evolution (2020) 

Designing Neural Networks through Neuroevolution (2019) 

The Quest for Identifiability in Human Functional Connectomes (2018) 

Neuronal Tract Tracer (2003) 

Brain Activity Fluctuations Propagate as Waves Traversing The Cortical Hierarchy (2020) 

A Free Energy Principle For The Brain (2006) 

Graph Convolutional Neural Networks for Web-Scale Recommender Systems (2018) 

Graph Classification 

Survey Graph Embedding 

WaveNet 

Word2Vec 

Semi-Supervised Classification 

Geometric Deep Learning 

Geometric Deep Learning (2016) 

Attention Is All You Need 

Fractal Dimension vs Process Complexity 

Scene Generation 

Python Data Science Handbook (GitHub)

Robert Ness - altdeep Blog - altdeep Courses

Thomas Wiecki - 

Jakob Zeitler - UCL Centre for Artificial Intelligence

Andrew Lawrence - Causal Lens

Daniel Ebenhoch - 

Alicia Curth  -

Juan Orduz - 

Matej Zecevic - 

PyMC - Probabilistic programming (Bayesian models, MCMC)

PyRo - Deep Universal Probabilistic Programming

EconML - Causal ML

PGMPy - Bayesian networks