kirgush

18337

18.337 - Parallel Computing and Scientific Machine Learning

18S096SciML

18.S096 - Applications of Scientific Machine Learning

a3c_trading

Trading with recurrent actor-critic reinforcement learning

aa228-notebook

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

AD

Light-weight implementation of Algorithmic Differentiation in the Wolfram Language

advanced-shiny

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

AlphaZero.jl

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

cvxportfolio

Portfolio optimization and simulation in Python

cvxpower

Power Network Optimization and Simulation.

cvxr_docs

cvxr_tutorial

useR! 2019 CVXR tutorial

dashboard

Sample codes for creating interactive dashboard for scorecards monitoring

feasibility_region

feasibility regions csv

flowery

Make R a more flowery language with generators and transducers

funneljoin

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

google-research

Google Research

gym-anm

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

Machine-Learning-Under-Optimization-Lens-Fall2018

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

MAgent

A Platform for Many-agent Reinforcement Learning

MLCrashCourse

Julia files inspired by Google's Machine Learning Crash Course

monitoring_paper

material for paper about models monitoring with R

notebooks

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

rl

Deep Reinforcement Learning For Trading

rstudio_conf_2019_eager_execution

RStudioConf2019Slides

Links to slides for rstudio::conf 2019

SDE

Example codes for the book Applied Stochastic Differential Equations

STMO

Selected Topics in Mathematical Optimization, now in Julia

stochastic-optimization

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

tidytuesday

Repo for initial setup of the #tidytuesday visualization project

Zero2Hero-JuliaWorkshop

Intensive Julia workshop that takes you from zero to hero