基于 bert4keras 的一个baseline 不作任何 数据trick 单模 线上 最高可到 0.7891 # 基础 版 train.py 0.7769 # transformer 各层 cls concat 明神的trick https://xv44586.github.io/2021/01/20/ccf-qa-2/ train_concat.py 0.7786 # 使用那个FGM对抗 train_FGM.py 0.7891 # 苏神提出的 PET train_PET.py 0.7812 预训练模型使用 nezha 使用说明: 数据放在 data下 下载预训练模型解压 模型会保存在 train中 优化方向: 1,融合🙃 bert4keras >= 0.10.0 nezha的预训练模型 链接: https://pan.baidu.com/s/1lURyXs39PYnsb4imCjVkfQ 密码: 1eqq --来自百度网盘超级会员V4的分享
“英特尔创新大师杯”深度学习挑战赛 赛道3:CCKS2021中文NLP地址相关性任务
Overview
The King is Naked: on the Notion of Robustness for Natural Language Processing
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a pytorch implementation of auto-punctuation learned character by character
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A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution (CVPR2022)
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ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
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Meaningful titles for tabs and PDF downloads! Also supports tab search.
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LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.
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An end-to-end implementation of intent prediction with Metaflow and other cool tools
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A very short and easy implementation of Quantile Regression DQN
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An experimental technique for efficiently exploring neural architectures.
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Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"
This codebase is being actively maintained, please create and issue if you have issues using it Basics All data files are included under losses and ea
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Extension to fastai for volumetric medical data
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Yolov3 pytorch implementation
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[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution
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