The ins and outs of open source for AI (Practical AI #95)

Daniel and Chris get you Fully-Connected with open source software for artificial intelligence. In addition to defining what open source is, they discuss where to find open source tools and data, and how you can contribute back to the open source AI community.

Daniel and Chris get you Fully-Connected with open source software for artificial intelligence.

In addition to defining what open source is, they discuss where to find open source tools and data, and how you can contribute back to the open source AI community.

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Featuring:

Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website

Show Notes:

General discussion of AI and open source code/data/model
How to experiment with open source tools/data
What are easy ways to start contributing
What are ways to contribute to open source AI other than contributing to key projects?

Sources:

GitHub
Papers With Code
Semantic Scholar
Google Dataset Search
Data.gov

Learning resources:

Guide to making your first open source contribution

Something missing or broken? PRs welcome!