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《统计学习方法》的代码实现
LaTeX Notes
: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
Implement algorithms with basic functions
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)的ML算法程序。
Relevant machine learning techniques.
周志华《机器学习》手推笔记
Machine Learning周志华西瓜书的课后练习题代码
机器视觉算法库
Source code for paper: An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning
《多智能体系统的协同群集运动控制》-陈杰
materials for deep learning at FDUNLP lab
Cross-platform figure export from Matlab to SVG, PDF, PNG, etc. preserving transparency
Collection of miscellaneous shared utils for Matlab
it contains all the MATLAB demo code associated with my machine learning notes
matplotlib: plotting with Python
Model Free Adaptive Control
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。
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
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
机器学习算法的公式推导以及numpy实现
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
《Machine Learning: A Probabilistic Perspective》(Kevin P. Murphy)中文翻译和书中算法的Python实现。
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)
Repository for the course "Model Predictive Control" - SSY281 at Chalmers University of Technology
Models and examples built with TensorFlow
some learning projects I did using modern cpp
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.