Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Optimal Transport Networks in Spatial Equilibrium - in Julia

Python Implementation of Reinforcement Learning: An Introduction

Julia code for the book Reinforcement Learning An Introduction

Solutions of Reinforcement Learning, An Introduction

Blog posts on best practices for Julia development

Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.

Solve non-linear HJB equations.

Public Repository for Traffic Cruising DSSG 2017 Project

The Leek group guide to data sharing

COVID-19 Italia - Monitoraggio situazione