mmadsen Goto Github PK
Name: Mark E. Madsen
Type: User
Company: University of Washington
Name: Mark E. Madsen
Type: User
Company: University of Washington
Automating approximate Bayesian computation by local linear regression
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Original Apollo 11 Guidance Computer (AGC) source code.
A Latex style and template for paper preprints (based on NIPS style)
Cultural Transmission Models based upon Robert Axelrod's (1997) model of homophily and culture
BibDesk export templates for use with pandoc
Random forests for R for large data sets, optimized with parallel tree-growing and disk-based memory
Catalan: a combinatorics library for Julia
A modern, C++-native, header-only, framework for unit-tests, TDD and BDD
Python program for constructing network models of character state changes
Buildpack for Conda.
Scalable Machine Learning in Scalding
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).
Fast n-dimensional filtering and grouping of records.
Cultural transmission models with heterogeneous mixtures of social learning modes
Cultural transmission models in python using simuPOP, SciPy, and NumPy
collaborative topic regression with social matrix factorization
Dash repo of user contributed docsets
Samples for users of the Yelp Academic Dataset
Ph.D. dissertation at University of Washington, June 2020 - with defense presentation and video
Base image for Python development used data processing, predictive analytics, and scientific computing
Docker container which runs v2.5 of CTMixtures, to a local MongoDB instance, for replicating simulations from repository "experiment-ctmixtures"
Experiment: Observing cultural transmission models through archaeological classifications
Experiment and analysis: Do heterogeneous mixtures of social learning rules coarse grain to neutrality?
Statistical identification of regional temporal network models from seriation of time averaged samples of cultural trait frequencies, for Mark Madsen's dissertation research
Experiment and analysis: What regional models of cultural transmission are identifiable through seriations using IDSS?
Continuation of experiment-seriationct-2 given repository size restrictions
Template for a data analysis with subsequent paper and conference presentation
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.