Awesome machine learning for combinatorial optimization papers.
Browse a collection of research papers that use machine learning to solve complex optimization problems.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeAwesome machine learning for combinatorial optimization papers.
awesome-ml4co has 2.1k stars on GitHub. It has been forked 239 times. awesome-ml4co is written mainly in Python. It has been in active development since 2021. Its main topics are combinatorial-optimization, machine-learning, operations-research, paper-list.
Awesome machine learning for combinatorial optimization papers.
awesome-ml4co is an open-source project.
Yes. awesome-ml4co is free and open source — you can use, modify and self-host it.
awesome-ml4co is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/thinklab-sjtu-awesome-ml4co.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.