An annotated implementation of the Transformer paper. - harvardnlp/annotated-transformer ...

Abstract: Automatic pronunciation assessment is an indispensable technology in computer-assisted pronunciation training systems. To further evaluate the quality of pronunciation, multi-task learning ...

Abstract: Writing radiology reports based on radiographic images is a time-consuming task that demands the expertise of skilled radiologists. Consequently, the integration of technology capable of ...

下图先便是Transformer整体结构图，与篇章2.1中介绍的seq2seq模型类似，Transformer模型结构中的左半部分为编码器（encoder），右半部分为解码器（decoder），下面我们来一步步拆解 Transformer。 图：transformer模型结构 ...

We propose DPCrossU-Net, a dual-branch parallel encoder–decoder network that integrates convolutional and Vision Transformer representations. The encoder employs parallel CNN and ViT branches with a ...

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OmniESI：一个用于酶-底物相互作用预测的统一渐进式条件深度学习框架原文题名：OmniESI: A unified framework for enzyme-substrate interaction prediction with ...