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CDIoU-CDIoUloss
🔥CDIoU and CDIoU loss is like a convenient plug-in that can be used in multiple models. CDIoU and CDIoU loss have different excellent performances in several models such as Faster R-CNN, YOLOv4, RetinaNet and . There is a maximum AP improvement of 1.9% and an average AP of 0.8% improvement on MS COCO dataset, compared to traditional evaluation-feedback modules. Here we just use as an example to illustrate the code.meachine_learning
简单线性回归,多元线性回归,非线性回归,Kmeans算法,Hierarchical_clusteringPCA_ICA_DEMO
Demo for PCA(Principal Component Analysis) & ICA(Independent Component Analysis) in data analysis in Python and image separation written in MATLABPython-ABC
The basic courses for pythonSVM_machineLearning
There are 3 demoes for SVM algorithm. The 1st is easiest one for explaining how SVM works.The 2nd and 3th are examples of application to deal with multidimensional classification and face recognitionHandwritten-digit-recognition-New-version
machinelearning_deeplearning
The algorithms of common just for machine learning and deep learningDeep_Learning
coding lines for Deep learning 0.1 Desicion TreeJava-ABC
关于JAVA的学习笔记和心得MgD
🔥 we propose Multi-granularity Detector (MgD).KNN_ML
Demo for KNN(K-Nearest Neighbor) & Iris module(a classical test) in data analysis in Pythonneural-network-NN-
The basic principle of neural network. A simple 2 * 2 * 1neural network structure just for 0, 1 prediction ; Handwritten numerals recognition (classification) neural network; Handwritten digital data set integrated in SKlearn module.Love Open Source and this site? Check out how you can help us