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Posterior predictive checks for genetic admixture models
Mallet-compatible anchor-based topic model
Articles from CA
Supporting materials for DH Beyond Modern English presentation
spectral approaches to language modeling
Mallet-compatible graphical model toolkit
Tools for working with Hathi Trust Research Center extracted features files
Materials for "Text Mining for History and Literature"
Notes and in-class problems for ML+d3 course
Notes and pre-class work for INFO/CS 3300 and INFO 5100
Course materials for Data-Driven Web Applications
Course materials for Data-Driven Web Applications
Resources for Advanced Topic Modeling (Fall 2018)
A javascript implementation of limited-memory BFGS
An implementation of latent Dirichlet allocation in javascript
Tools for analyzing literature
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
Tools for working with mallet topic assignment state files
Tools for using LLMs to analyze Mallet topic model output
Posterior predictive checks for Mallet state files
in-browser classification and analysis
Poisson network community model
tool to split jupyter notebooks into one notebook per problem
Code for online stochastic LDA
Creative commons texts from Oxford Text Archive
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.