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@pfnet @mila-iqia @conda-forge @mslab @optuna

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  1. Public code for a paper "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks."

    Python 28 3

  2. A third-party dashboard for optuna.

    TypeScript 6

  3. Forked from optuna/optuna

    A hyperparameter optimization framework

    Python

828 contributions in the last year

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Contribution activity

January 2021

Created 1 commit in 1 repository
Reviewed 1 pull request in 1 repository

Created an issue in optuna/optuna that received 5 comments

`nan` handling in `trial.report` and multi-objective study.

Expected behavior trial.report() accepts nan Return value of multi-objective study accepts nan Multi-objective study mark trials as FAILED when on…

5 comments
37 contributions in private repositories Jan 1 – Jan 8

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