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The algorithm performance leaderboard is useful and interesting for quick, easy-to-use information without manually benchmarking existing algorithms. This leaderboard is a must-have because people are likely to always want to use the best algorithm without tiring them out with exploration and benchmarking.
This is will be interesting because the library is already built for modularity, so the contributor can propose the most creative, useful, versatile, effective, and efficient variants to be easily used by the community.
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The algorithm performance leaderboard is useful and interesting for quick, easy-to-use information without manually benchmarking existing algorithms. This leaderboard is a must-have because people are likely to always want to use the best algorithm without tiring them out with exploration and benchmarking.
It is somewhat costly and time-consuming to manually benchmark the algorithm, as I built in this notebook: https://github.com/muazhari/autocode/blob/99222153e137f1e0f8002b1c1ea3ceb73021c763/benchmark/optimization_algorithm.ipynb
I suggest the leaderboard can be built like this as a reference: https://huggingface.co/spaces/mteb/leaderboard
Also, to increase community engagement, you can make the leaderboard open for contributions by submitting creative variants of algorithms like these:
This is will be interesting because the library is already built for modularity, so the contributor can propose the most creative, useful, versatile, effective, and efficient variants to be easily used by the community.
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