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线性回归
说明: 能够实现线性回归,里面有一个线性回归的实例(It can realize linear regression. There is an example of linear regression)
- 2020-05-10 09:38:06下载
- 积分:1
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EntropyRateSuperpixel-master
基于熵率的超像素分割,图像处理,图像分割技术(superpixel segmentation based on entropy rate, image processing, image segmentation technology)
- 2018-05-21 17:03:55下载
- 积分:1
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mtcnn-caffe-master
说明: MTCNN,Multi-task convolutional neural network(多任务卷积神经网络),将人脸区域检测与人脸关键点检测放在了一起,它的主题框架类似于cascade。总体可分为P-Net、R-Net、和O-Net三层网络结构。(MTCNN, Multi-task convolutional neural network (multi-task convolutional neural network), puts face region detection and key point detection together, and its subject framework is similar to cascade. Overall, it can be divided into three layers: P-Net, R-Net and O-Net.)
- 2019-09-26 17:50:36下载
- 积分:1
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smoke
说明: 使用opencv进行烟雾检测,数据集和代码都在里面,可以直接跑(smoke detection with opencv)
- 2020-07-07 22:58:58下载
- 积分:1
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Classification
说明: 提取声音信号的MFCC作为特征,
利用CNN对五种动物信号完成分类。(MFCC of sound signal is extracted as feature,
Five kinds of animal signals were classified by CNN.)
- 2021-01-13 16:38:48下载
- 积分:1
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se_relativisticgan-master
说明: 基于gan的语音增强算法;
还包括原始gan用于语音增强的网络,还有wgan等(Speech enhancement based on GAN;
Also includes the original GAN for voice enhancement network, wGAN and so on)
- 2020-10-06 12:57:52下载
- 积分:1
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snow_drift
说明: 雪堆博弈 Python实现,雪堆博弈揭示了个体理性和群体理性的矛盾对立。可以这样来描述雪堆博弈(snowdrift game Snowdrift game is implemented in Python, which reveals the contradiction between individual rationality and group rationality. We can describe the snowdrift game in this way)
- 2020-05-21 15:16:31下载
- 积分:1
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examonline-master
说明: 在线考试系统,能够支持各类功能,帮助对python语言的学习。(Online examination system can support various functions)
- 2020-07-25 20:58:42下载
- 积分:1
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Community-detection-master
说明: 社团分类,包括gn算法分类和cpm算法分类,包内还有训练数据可供联系。(community detection)
- 2020-05-28 08:46:12下载
- 积分:1
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决策树
使用Python对决策树算法进行了基础的模拟,输入数据后,可以输出根据数据的哪些属性进行决策树分类。(Python is used to simulate the decision tree algorithm. After inputting the data, it can output which attributes of the data to classify the decision tree.)
- 2019-03-27 21:05:37下载
- 积分:1