[D]How to optimize an ANN?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • optuna-examples

    Examples for https://github.com/optuna/optuna

  • Check out the examples for Optuna, a popular hyper parameter tuning package. It has examples for most popular ML frameworks including Xgboost, so you can see how it compares to an ANN framework like Keras or PyTorch.

  • SMAC3

    SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

  • You can use Optuna, SMAC or hyperopt

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • optuna

    A hyperparameter optimization framework

  • You can use Optuna, SMAC or hyperopt

  • hyperopt

    Distributed Asynchronous Hyperparameter Optimization in Python

  • You can use Optuna, SMAC or hyperopt

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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