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arXiv 2004.02747cs.CVeess.IV
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Replenen:一个用于坚实的深度学习的Python包

Eisen: a python package for solid deep learning

The Eisen Project(Eisen项目)

Frank Mancolo

摘要:

Replenen是一个开源的Python包,使深度学习方法的实现变得容易。它是专门为医学图像分析和计算机视觉任务量身定制的,但其灵活性允许扩展到任何应用。Replenen基于PyTorch,它遵循属于PyTorch生态系统的其他包的相同架构。这简化了它的使用,并允许它与其他软件包提供的模块兼容。Replenen实现了多种数据集加载方法,各种数据格式的I/O,数据操作和转换,完全实现训练,验证和测试循环,实现损失和网络架构,自动导出训练工件,摘要和日志,可视化实验构建,命令行界面等。此外,它对社区的用户贡献开放。文档、示例和代码可以从http://eisen.ai下载。

英文摘要:

Eisen is an open source python package making the implementation of deep learning methods easy. It is specifically tailored to medical image analysis and computer vision tasks, but its flexibility allows extension to any application. Eisen is based on PyTorch and it follows the same architecture of other packages belonging to the PyTorch ecosystem. This simplifies its use and allows it to be compatible with modules provided by other packages. Eisen implements multiple dataset loading methods, I/O for various data formats, data manipulation and transformation, full implementation of training, validation and test loops, implementation of losses and network architectures, automatic export of training artifacts, summaries and logs, visual experiment building, command line interface and more. Furthermore, it is open to user contributions by the community. Documentation, examples and code can be downloaded from http://eisen.ai.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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