Design Reinforcement Learning environments that model Active Network Management (ANM) tasks in electricity distribution networks.

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

Selected Topics in Mathematical Optimization, now in Julia

Demonstrate, reproduce and extend the results in the article 'Learning The Shape: Differential Machine Learning' (Huge & Savine, Risk 2020), and discuss implementation details

Portfolio optimization and simulation in Python

Google Research

Intensive Julia workshop that takes you from zero to hero

Example codes for the book Applied Stochastic Differential Equations

Trading with recurrent actor-critic reinforcement learning

Deep Reinforcement Learning For Trading

useR! 2019 CVXR tutorial

18.S096 - Applications of Scientific Machine Learning

18.337 - Parallel Computing and Scientific Machine Learning

A Platform for Many-agent Reinforcement Learning

Shiny tips & tricks for improving your apps and solving common problems

Repo for initial setup of the #tidytuesday visualization project

Julia files inspired by Google's Machine Learning Crash Course

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

Make R a more flowery language with generators and transducers

Light-weight implementation of Algorithmic Differentiation in the Wolfram Language

Power Network Optimization and Simulation.

Work from class 15.095 Machine Learning Under a Modern Optimization Lens at MIT taught by Dimitris Bertsimas and Martin Copenhaver

Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.

Links to slides for rstudio::conf 2019

Join tables based on events occurring in sequence in a funnel.