论文标题
艾森：固体深度学习的Python包装
Eisen: a python package for solid deep learning
论文作者
论文摘要
Eisen是一个开源Python软件包，使深度学习方法的实现变得容易。它是专门针对医疗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程序。 Eisen基于Pytorch，它遵循与Pytorch生态系统的其他软件包相同的结构。这简化了其使用，并允许其与其他软件包提供的模块兼容。 Eisen实现了多种数据集加载方法，用于各种数据格式的I/O，数据操作和转换，培训的全面实施，验证和测试循环，损失和网络体系结构的实施，培训工件，摘要和日志的自动导出，视觉实验构建，命令线接口等。此外，它对社区的用户贡献开放。可以从http://eisen.ai下载文档，示例和代码。
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.
