<aside> 👋 Hello and welcome to ML Baselines! This is a collection of baselines for various machine learning tasks to compare your latest model against.

It is divided into the following sections:

• 1) Baselines: Collection of baseline models sorted by domain, task and capability.
• 2) Libraries and Frameworks: Typical ML software that offers tutorials and baselines.
• 3) Task Overviews: Site used for finding guidance.

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<aside> ⛔ Currently paused due to missing time.

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<aside> 💡 A baseline is a simple model that is fast to be implemented, robust, ideally interpretable and achieves good first results while serving as a reference for later model iterations. See the article Always start with a stupid model, no exceptions ****by Emmanuel Ameisen as a motivation on why baselines are absolutely necessary in every ML project!

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ML Baselines - Feedback Form

Part 1 - Baselines

Domain

Task

Capability

🐙 Domain-Agnostic

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📚 Structured Data

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🖼️ Image

🔤 Text

🎶 Audio

Part 2 - Libraries and Frameworks

Abstraction

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Part 3 - Task Overviews

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