https://github.com/uncomplicate/bayadera

High-performance Bayesian Data Analysis on the GPU in Clojure
https://github.com/uncomplicate/bayadera

bayesian bayesian-data-analysis bayesian-inference clojure clojure-library cuda gpu gpu-acceleration gpu-computing high-performance-computing machine-learning markov-chain-monte-carlo mcmc opencl statistics

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High-performance Bayesian Data Analysis on the GPU in Clojure

• Host: GitHub
• URL: https://github.com/uncomplicate/bayadera
• Owner: uncomplicate
• License: epl-1.0
• Created: 2013-07-02T17:22:45.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2020-09-10T11:09:54.000Z (over 4 years ago)
• Last Synced: 2025-01-15T13:02:16.638Z (7 days ago)
• Topics: bayesian, bayesian-data-analysis, bayesian-inference, clojure, clojure-library, cuda, gpu, gpu-acceleration, gpu-computing, high-performance-computing, machine-learning, markov-chain-monte-carlo, mcmc, opencl, statistics
• Language: Clojure
• Homepage:
• Size: 1020 KB
• Stars: 365
• Watchers: 29
• Forks: 24
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

        
# Bayadera

[Adopt your pet function](https://dragan.rocks/articles/18/Patreon-Announcement-Adopt-a-Function) and [become a patron](https://patreon.com/draganrocks).

A Clojure Library for Bayesian Data Analysis and Machine Learning on the GPU.

## License

Copyright © 2014 - 2017 Dragan Djuric

Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.