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Mark E. Madsen's Projects

abcreg icon abcreg

Automating approximate Bayesian computation by local linear regression

annoy icon annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

apollo-11 icon apollo-11

Original Apollo 11 Guidance Computer (AGC) source code.

arxiv-style icon arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

axelrod-ct icon axelrod-ct

Cultural Transmission Models based upon Robert Axelrod's (1997) model of homophily and culture

bigrf icon bigrf

Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory

catch icon catch

A modern, C++-native, header-only, framework for unit-tests, TDD and BDD

crab icon crab

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

crossfilter icon crossfilter

Fast n-dimensional filtering and grouping of records.

ctmixtures icon ctmixtures

Cultural transmission models with heterogeneous mixtures of social learning modes

ctpy icon ctpy

Cultural transmission models in python using simuPOP, SciPy, and NumPy

ctr icon ctr

collaborative topic regression with social matrix factorization

dissertation icon dissertation

Ph.D. dissertation at University of Washington, June 2020 - with defense presentation and video

docker-anaconda icon docker-anaconda

Base image for Python development used data processing, predictive analytics, and scientific computing

docker-ctmixtures icon docker-ctmixtures

Docker container which runs v2.5 of CTMixtures, to a local MongoDB instance, for replicating simulations from repository "experiment-ctmixtures"

experiment-ctmixtures icon experiment-ctmixtures

Experiment and analysis: Do heterogeneous mixtures of social learning rules coarse grain to neutrality?

experiment-seriationct icon experiment-seriationct

Experiment and analysis: What regional models of cultural transmission are identifiable through seriations using IDSS?

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