WecoAI/awesome-autoresearch

Curated list of AutoResearch use cases with optimization traces and open source implementations

47
/ 100
Emerging

This is a collection of real-world examples showing how automated search techniques can continuously improve code or configurations for various tasks. It provides detailed records of each attempt, so you can see the step-by-step optimization process, not just the final outcome. This is for anyone who wants to automatically improve the performance of their models, algorithms, or systems through an iterative, data-driven approach.

460 stars.

Use this if you need to continuously optimize a system or model by making small, iterative changes and want to see documented examples of how others have achieved significant improvements.

Not ideal if you are looking for a plug-and-play solution without understanding the underlying iterative optimization process.

Machine Learning Optimization Performance Engineering Quantitative Finance Scientific Modeling Voice Agent Tuning
No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 9 / 25
Community 15 / 25

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Stars

460

Forks

36

Language

License

CC0-1.0

Last pushed

Mar 28, 2026

Commits (30d)

0

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