The ins and outs of open source for AI

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.

Join the discussion

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Featuring:

• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

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!

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Creators & Guests

Host

Chris Benson

Host

Daniel Whitenack

What is Practical AI?

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).

The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!