100 Days of ML Coding
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Updated
Dec 29, 2023
100 Days of ML Coding
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
⚡机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Code for Tensorflow Machine Learning Cookbook
Python code for common Machine Learning Algorithms
The Operator Splitting QP Solver
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
⚡️⚡️⚡️《机器学习实战》代码(基于Python3)🚀
Curso de Introducción a Machine Learning con Python
Java Statistical Analysis Tool, a Java library for Machine Learning
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
A minimalistic educational hypervisor for Windows on AMD processors.
Compendium of free ML reading resources
Machine Learning library for the web and Node.
📚《统计学习方法-李航: 笔记》 200页PDF,公式细节讲解🎉
SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.
Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
To associate your repository with the svm topic, visit your repo's landing page and select "manage topics."