apashea Goto Github PK
Name: Andrew Pashea
Type: User
Location: Chicago, Illinois, USA
Name: Andrew Pashea
Type: User
Location: Chicago, Illinois, USA
Forked repository of code for 'Epistemic Communities under Active Inference', Albarracin et. al, Entropy 2022
Importing, manipulating, cleaning, joining, plotting, clustering (using PCA), and mapping economic indicators from the National Bank of Belgium's Online Statistics site to compare Belgian provinces.
This project demonstrates use of textual analysis and visualization, including topic modeling and visualizing topic proportions in Twitter data over time versus the GME stock price. See README for concise list of contents.
Landing page and repository for the 'Active Agents' tutorial held 17 July, 2024 at the 10th International Conference on Computational Social Science.
This is a simple primer script for setting up and using Julia and the RxInfer package for variational Bayesian inference.
This notebook builds an artificial recurrent neural network called Long Short Term Memory (LSTM) to predict the adjusted closing price of the NASDAQ Clean Edge Green Energy index by reiterating over the past 60 day stock price.
This project uses machine-learning methods, including model comparisons and metrics, for binary classification to help a fictional public institution better allocate their resources. The data and parts of the code are based on a textbook (see citation within).
This project visualizes the network of debtor countries owing Italy in 2020 from annualized data extracted from the World Bank's collection 'International Debt Statistics'.
Topic Modeling New York Times censorship articles, 1914-1918
This project presents Kaplan-Meier survival curves and their plots of systemic crises (for now, in Belgium, France, United Kingdom, and Germany) using data collected by Harvard Business School.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.