https://github.com/cair/open-tsetlin-machine
Open Source Tsetlin Machine framework
Science Score: 23.0%
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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✓Academic publication links
Links to: arxiv.org -
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○Scientific vocabulary similarity
Low similarity (9.4%) to scientific vocabulary
Keywords
Repository
Open Source Tsetlin Machine framework
Basic Info
- Host: GitHub
- Owner: cair
- License: mit
- Default Branch: master
- Size: 7.81 KB
Statistics
- Stars: 17
- Watchers: 11
- Forks: 0
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Open Tsetlin Machine
The Open Source Tsetlin Machine framework
Introduction
Open Tsetlin Machine is machine learning framework that encapsulates the Tsetlin Machine Algorithm and allows for rapid and easy model building. The Algorithm was first introduced by Prof. Ole-Christoffer Granmo in his paper The Tsetlin Machine - A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic. The project was started by Anders Refsdal Olsen as a project in his Master's Thesis.
Installation
In order to use Tsetlin Machine there are a few requirements that needs to be filled. A detailed installation instruction will soon be available in our docs pages.
Build status
Coming soon
Contribution
The project is for now closed for contributions due to it being in a very early state. However, contributions will be accepted in the early 2019. Please then follow our contribution guidelines.
More information
For more information please visit: * Docs pages * Wiki pages * Issue section
License
Owner
- Name: Centre for Artificial Intelligence Research (CAIR)
- Login: cair
- Kind: organization
- Email: cair-internal@uia.no
- Location: Grimstad, Norway
- Website: https://cair.uia.no/
- Repositories: 68
- Profile: https://github.com/cair
CAIR is a centre for research excellence on artificial intelligence at the University of Agder. We attack unsolved problems, seeking superintelligence.
GitHub Events
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- Total issue authors: 0
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- Average comments per issue: 0
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Past Year
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- Average comments per issue: 0
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- Bot issues: 0
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