humpday
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Elo ratings for global black box derivative-free optimizers
https://ktafakkori.github.io/optimization-packages-in-python-list/
https://microsoft.github.io/FLAML/docs/Use-Cases/Tune-User-Defined-Function/
https://github.com/optuna/kurobako
https://github.com/SelfExplainML/SeqUD
Thank you for writing humpday, it looks amazing. I tried out the following: ``` from math import cos, pi def rastrigin(a, b): A = 10 n = 2 value =...
In the example at https://github.com/microprediction/humpday/blob/main/black_box_optimization_package_recommender.ipynb there is `n_dim=4`. However the defined function `my_objective` has only dimension 2. What does it mean when n_dim is larger than the number of dimensions...
https://github.com/microsoft/nni
All issues should be resolved in the latest build of freelunch. I think you can just re-run the workflow and the tests should now be passing.
https://github.com/numericalalgorithmsgroup/dfogn
https://github.com/pablormier/yabox