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Luyao (Sunshine) Zhang's Projects

ai-economist icon ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

blockchain-and-cryptocurrency icon blockchain-and-cryptocurrency

In this course, students will learn about the fundamentals of blockchain technology as well as the cryptocurrencies built on top of it. Module 1 serves as an intro to the concept of blockchains, cryptocurrencies, limitations of these services, and payment channels. Module 2 explains tokens and gives students the opportunity to experiment with an ERC-20 style token built on Motoko. In Module 3 students begin their own implementation of a payment channel in Motoko, and in Module 4 they finish this implementation. Each module builds upon concepts learned and activities completed in the prior modules.

cbeci icon cbeci

Visualization for Cambridge Bitcoin Electricity Consumption Index (CBECI)

covid-19-data icon covid-19-data

Data on COVID-19 (coronavirus) confirmed cases, deaths, and tests • All countries • Updated daily by Our World in Data

croissant icon croissant

Croissant is a high-level format for machine learning datasets that brings together four rich layers.

cryptoexchange icon cryptoexchange

[UNMAINTAINED] Ruby library to query market data from cryptocurrency exchanges (https://www.coingecko.com)

csecon206_problemset1 icon csecon206_problemset1

supplementary resources for CS/Econ 206: Computational Microeconomics by Prof. Luyao Zhang at Duke Kunshan University

cv_xai icon cv_xai

Cryptocurrency Valuation: An Explainable AI Approach

data icon data

Archives of data produced by coinmetrics.io

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