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1. ML-8-DecisionMaking-tree ML-8-DecisionMaking-tree Public

   这是我在本科《机器学习》课程中的实验。在有1000个车辆数据的数据集上，使用决策树完成4分类，并进行性能评估。于是，我手写了ID3、CHAID、C4.5、CART这四个基本的决策树，并根据已有库实现RandomForest、XGBoost、GBDT、LightGBM这四个较复杂的决策树模型框架

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2. CV_FaceDetection_PytorchMTCNN_demo CV_FaceDetection_PytorchMTCNN_demo Public

   HNU《计算机视觉》课程，人脸检测小作业：利用PYtorch实现卷积神经网络(MTCNN)的人脸检测

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3. ANN-Net-classification ANN-Net-classification Public

   HNU《机器学习》-第二次实验: 使用神经网络对“car+evaluation”数据集进行分类。简单地利用pytorch实现神经网络

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4. 0Solving1.io 0Solving1.io Public

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5. Vehicle-detection Vehicle-detection Public

   To deal with 《Computer Vision》 coursework, I utilize Yolov5 neural network instead of traditional methods based on computer graphics.Besides, I use Pyside6 and Gradio to achieve graphical interface.

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6. Car-Number-Plates-DetectAndRecognize Car-Number-Plates-DetectAndRecognize Public

   Detect(By opencv Haar classifier) and recognize vehicle license plates(By LPRNet) for my CV coursework

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