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Nevergrad is a gradient-free optimization platform. The goals of this package are to provide: - gradient/derivative-free optimization algorithms, including algorithms able to handle noise. - tools to instrument any code, making it painless to optimize your parameters/hyperparameters, whether they are continuous, discrete or a mixture of continuous and discrete variables. - functions on which to test the optimization algorithms. - benchmark routines in order to compare algorithms easily. WWW: https://github.com/facebookresearch/nevergrad
12 lines
551 B
Text
12 lines
551 B
Text
Nevergrad is a gradient-free optimization platform.
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The goals of this package are to provide:
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- gradient/derivative-free optimization algorithms, including algorithms able to
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handle noise.
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- tools to instrument any code, making it painless to optimize your
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parameters/hyperparameters, whether they are continuous, discrete or a mixture
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of continuous and discrete variables.
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- functions on which to test the optimization algorithms.
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- benchmark routines in order to compare algorithms easily.
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WWW: https://github.com/facebookresearch/nevergrad
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