eyounx/ZOOpt
A python package of Zeroth-Order Optimization (ZOOpt)
This package helps you find optimal settings or configurations for complex systems when you can't easily calculate how changes impact outcomes. You provide a way to test different settings and measure results, and it efficiently explores possibilities to find the best performing ones. It's ideal for engineers, researchers, or data scientists working with 'black-box' systems where traditional optimization methods fall short.
413 stars. No commits in the last 6 months.
Use this if you need to optimize a system or model where you can't use gradient-based methods because the objective function is non-differentiable, has many local minima, or is completely unknown except for its outputs.
Not ideal if your problem involves simple, well-behaved mathematical functions where gradients can be easily computed, as more traditional and often faster optimization techniques would be more suitable.
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413
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97
Language
Python
License
MIT
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Last pushed
Jun 02, 2022
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