Shruti Appiah's repositories
Simulating-an-Economy-ABM
Simulation of reward tokens in a DAO ⚡️Employs multi-agent simulations and discrete-time Markov random fields.
crypto-forecasting-with-neuralnetworks
Feedforward and LSTM neural networks forecast our favourite financial markets. 🌊
Simulating-P2P-energy-trading
Simulation of utility tokens for trading renewable energy in urban slum communities. Agent-based model (ABM)
Opinion-Dynamics-ABM
Simulation of opinion dynamics in a social system using a Mesa agent-based model
MLforMentalHealth
Regression with support vector machines (SVM). Clustering with DBSCAN. Identifies factors contributing to mental health help seeking behaviours in the tech industry
ai-chatbot-framework
Tech diligence for AI chatbots: A python chatbot framework with Natural Language Understanding and Artificial Intelligence.
boardroom-contracts
A repo for all BoardRoom contracts.
Boardroom-TO
Toronto Boardroom
ESL
The Economic Simulation Library provides an extensive collection of tools to develop, test, analyse and calibrate economic and financial agent-based models. The library is designed to take advantage of different computer architectures. In order to facilitate rapid iteration during model development the library can use parallel computation. Economic models developed using the library can be deployed into large-scale distributed computing environments when working with large model instances and datasets and provides routines to set up large-scale sampling computations during the analysis and calibration process.
eth2.0-specs
Ethereum 2.0 Specifications
EthereumWaterloo
Your one stop shop for all educational resources from the Ethereum Waterloo community.
rumor-mill
Visualization of a Gossip Protocol
ShrutiAppiah.github.io
My personal website. Visit http://shrutiappiah.github.io
weifund-dapp-basic
An implementation of WeiFund that uses little to no JS frameworks (for prototyping, and demonstration purposes).
weifund.github.io
The WeiFund website and demo app.
wine-n-learn
Website for Wine n Learn event