NeMo (Neural Modules) is a Python framework-agnostic toolkit for creating AI applications through re-usability, abstraction, and composition. NeMo is built around neural modules, conceptual blocks of neural networks that take typed inputs and produce typed outputs. Such modules typically represent data layers, encoders, decoders, language models, loss functions, or methods of combining activations. NeMo makes it easy to combine and re-use these building blocks while providing a level of semantic correctness checking via its neural type system. The toolkit comes with extendable collections of pre-built modules for automatic speech recognition and natural language processing. Furthermore, NeMo provides built-in support for distributed training and mixed precision on latest NVIDIA GPUs. NeMo is open-source https://github.com/NVIDIA/NeMo

NeMo是一个Python框架无关的工具包，通过重复使用、抽象和组合创建人工智能应用程序。它基于神经模块，这是神经网络的概念块，它们接受输入并产生输出。NeMo使组合和重用这些构建块变得容易，同时提供通过其神经类型系统的语义正确性检查。该工具包具有可扩展的预构建模块集，可用于自动语音识别和自然语言处理。此外，NeMo提供了对最新NVIDIA GPU的分布式培训和混合精度的内置支持。NeMo是开源的。

NeMo：使用神经模块构建AI应用的工具包