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GitHub / uncomplicate / bayadera

High-performance Bayesian Data Analysis on the GPU in Clojure

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uncomplicate%2Fbayadera

Stars: 360
Forks: 24
Open Issues: 4

License: epl-1.0
Language: Clojure
Repo Size: 1020 KB
Dependencies: 8

Created: almost 11 years ago
Updated: about 2 months ago
Last pushed: over 3 years ago
Last synced: 16 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

Funding links: https://patreon.com/draganrocks

Files
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    Readme
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    Dependencies
    project.clj clojars