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haowangsir's Projects

machine-learning-1 icon machine-learning-1

:zap: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

maptf_code icon maptf_code

Source code for paper: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning

matlab-save-figure icon matlab-save-figure

Cross-platform figure export from Matlab to SVG, PDF, PNG, etc. preserving transparency

matlab_demos icon matlab_demos

it contains all the MATLAB demo code associated with my machine learning notes

mfac icon mfac

Model Free Adaptive Control

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

ml-python- icon ml-python-

主要是在学习李航的统计学习方法和周志华的机器学习西瓜书的笔记和相关的代码实现

ml_imblearn icon ml_imblearn

类别不平衡学习,包括采样、代价敏感学习、决策输出补偿以及集成学习等内容

ml_notes icon ml_notes

机器学习算法的公式推导以及numpy实现

ml_skills icon ml_skills

对ML建模中的数据清洗、特征工程、数据增强、模型集成、类别不平衡学习等方面内容做梳理

mlapp_cn_code icon mlapp_cn_code

《Machine Learning: A Probabilistic Perspective》(Kevin P. Murphy)中文翻译和书中算法的Python实现。

mnist-classification icon mnist-classification

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)

models icon models

Models and examples built with TensorFlow

modern-cpp-tutorial icon modern-cpp-tutorial

📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

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