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  1. FastASR FastASR Public

    这是一个用C++实现ASR推理的项目,它依赖很少,安装也很简单,推理速度很快,在树莓派4B等ARM平台也可以流畅的运行。 支持的模型是由Google的Transformer模型中优化而来,数据集是开源wenetspeech(10000+小时)或阿里私有数据集(60000+小时), 所以识别效果也很好,可以媲美许多商用的ASR软件。

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  3. Dive-into-DL-PyTorch Dive-into-DL-PyTorch Public

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    本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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