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hualoveshao's Projects

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

mi_naive_bayesian icon mi_naive_bayesian

基于互信息熵的朴素贝叶斯分类,数据集选择英文的恶意邮件,首先通过tf-idf对文本特征化,后通过高斯分布对连续特征概率进行估计,使用互信息进行加权,最终正确率为94%,想对比原始朴素贝叶斯分类提高4%左右

models icon models

Models and examples built with TensorFlow

qcwy icon qcwy

前程无忧物联网职位爬取并分析,使用pyecharts绘制图形,pyqt5展示分析。

tcm_entity_recognition icon tcm_entity_recognition

中医药术语识别,使用CNN-BILSTM-CRF模型对9000条训练数据和1000条测试数据进行处理,最终测试数据正确率为90+%。为方便使用,使用Tkinter对模型进行封装使用

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