clintpgeorge

ldamcmc

Implements several Markov chain Monte Carlo (MCMC) algorithms for the latent Dirichlet allocation (LDA) model

ediscovery

Active Topic Learning based Legal eDiscovery

gaur

A set of tools for creating topic modeling datasets, performing topic modeling, etc.

clintpgeorge.github.io

clda

Compound Latent Dirichlet Allocation Model

cs-102

hornbill

A python implementation for downloading news articles, financial data, and building text corpus for topic modeling

gensim

Vector Space Modelling for Humans

topviz

A web-based topic visualization environment

covid-19-multi-state-model

cs102-git-1

cs102-git-essentials

cs102-midterm

cs102-spring-2023-init

cs230

CS230: Probability and Statistics for Computer Science

grisham

We are looking at ways of modeling paper and user preferences.

gspm

Gaussian Shrinkage Partial Membership Model

L0_regularization

Learning Sparse Neural Networks through L0 regularization

lda-svi

an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference

lda.svi

Stochastic variational inference for latent dirichlet allocation models (whew)

LDAGroupedGibbsSampler

ldavem

Implements the variational EM algorithm for the latent Dirichlet allocation (LDA) model

PartiallyCollapsedLDA

Implementations of various fast parallelized samplers for LDA, including Partially Collapsed LDA, Light LDA, Partially Collapsed Light LDA and a very efficient Polya-Urn LDA

plda

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

RcppUtils

A place to keep useful Rcpp and RcppArmadillo implementations of various random number generators and math functions.

tm

This repository has the implementations of different topic models such as Latent Dirichlet Allocation and Hierarchical Dirichlet Process

tutorials