Awesome AutoML Papers

Overview

A community-curated GitHub repository that aggregates papers, tutorials, slides and projects on automated machine learning (AutoML). It organizes resources to help researchers and practitioners survey the field.

Best for

Best for
Researchers and machine learning engineers exploring automated machine learning literature and tools

Use cases

• Researching latest AutoML techniques and algorithms
• Finding tutorials for implementing AutoML pipelines
• Exploring open-source AutoML projects and tools

Notes

A community-curated GitHub repository that aggregates papers, tutorials, slides and projects on automated machine learning (AutoML). It organizes resources to help researchers and practitioners survey the field.

4,145 stars on GitHub. Last updated 2024-06-11. Licensed Apache-2.0.

Use cases

• Researching latest AutoML techniques and algorithms
• Finding tutorials for implementing AutoML pipelines
• Exploring open-source AutoML projects and tools

Pros

• Curated by the community with 4,145 stars indicating trust and popularity
• Covers a broad range of resource types from papers to slides
• Free and openly accessible on GitHub

Cons

• Only a static list, no integrated tool for running AutoML
• May become outdated if not actively maintained
• Requires manual browsing to find specific resources

Indexed from awesome-llmops and enriched against its public facts.