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computationalphysics

Introductory course in Computational Physics, including linear algebra, eigenvalue problems, differential equations, Monte Carlo methods and more.

computationalphysics2

Advanced course in Computational Physics, see texbook at http://compphysics.github.io/ComputationalPhysics2/doc/LectureNotes/_build/html/ with an emphasis on computational quantum mechanics, machine learning and quantum computing.

crypto-reading-list

deep-reinforcement-learning-cs285-pytorch

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

elec-market

A model of the wholesale electricity market.

empywer

Simulating congested electricity networks using financial transmission rights

ftr

Financial Transmission Rights for US energy markets.

homework_fall2020

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

mlops-basics

pomato

Power Market Tool for the comprehensive analyses of modern electricity markets (Python+Julia)

pyreto

Reinforcement learning agent based electricity market simulator

stelmod

stELMOD is a stochastic optimization model to analyze the impact of uncertain wind generation on the dayahead and intraday electricity markets as well as network congestion management. The consecutive clearing of the electricity markets is incorporated by a rolling planning procedure resembling the market process of most European markets.

system-design

Learn how to design systems at scale and prepare for system design interviews