infrastructure for computational experiments in machine learning

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License: Apache Software License (Apache-2.0 License)

Author: The following authors have created the source code of "Reproducible Experiment Platform" published and distributed by YANDEX LLC as the owner: - Tatiana Likhomanenko - Alexey Rogozhnikov - Alexander Baranov - Mikhail Hushchyn - Nikita Kazeev - Egor Khairullin - Konstantin Nikitin - Andrey Ustyuzhanin The following authors have licensed their contributions to YANDEX LLC and everyone who uses "Reproducible Experiment Platform" under the licensing terms detailed in LICENSE available at LICENSE file: - Lisa Ignatyeva - Artem Zhirokhov - Vlad Sterzhanov - Alexey Berdnikov - Eyad Sibai

Tags machine learning, high energy physics, particle physics, data analysis, reproducible experiment

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Project description

Reproducible Experiment Platform is a collaborative software infrastructure for computational experiments in machine learning, which allows obtaining reproducible, repeatable results and consistent comparisons of the obtained results.

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View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

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License: Apache Software License (Apache-2.0 License)

Author: The following authors have created the source code of "Reproducible Experiment Platform" published and distributed by YANDEX LLC as the owner: - Tatiana Likhomanenko - Alexey Rogozhnikov - Alexander Baranov - Mikhail Hushchyn - Nikita Kazeev - Egor Khairullin - Konstantin Nikitin - Andrey Ustyuzhanin The following authors have licensed their contributions to YANDEX LLC and everyone who uses "Reproducible Experiment Platform" under the licensing terms detailed in LICENSE available at LICENSE file: - Lisa Ignatyeva - Artem Zhirokhov - Vlad Sterzhanov - Alexey Berdnikov - Eyad Sibai

Tags machine learning, high energy physics, particle physics, data analysis, reproducible experiment

Maintainers

Avatar for tata-antares from gravatar.com tata-antares

Classifiers


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0.6.6

0.6.5

0.6.4

0.6.3

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