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Genmax algorithm for mining maximal frequent itemsets
A list of cool features of Git and GitHub.
Group Lasso implementation following the scikit-learn API
GSP (Generalized Sequence Pattern) algorithm in Python
Implementation of the depth-first gSpan algorithm for frequent graph mining in graphs data set. Finds possible frequent and canonical extensions of a given graph from a given set of graphs.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Hierarchical Clustering Python Implementation
高仿慕课网:py3.5 + Django1.10 + xadmin 搭建的在线课程教育平台
Notebooks and code for the book "Introduction to Machine Learning with Python"
Jarvis-Patrick Clustering that uses a nearest neighbor approach to clustering objects
K Means
This is implementation of Coordinate Descent for Lasso.
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Logistic regression from scratch in Python
LogitBoost classification algorithm built on top of scikit-learn
Least Squares Support Vector Regression
周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!
machine learning and deep learning tutorials, articles and other resources
学习机器学习的路上...
Constrained & Unconstrained Optimizers with Machine Learning models
Applying associative rule learning on market basket optimization by applying Apriori algorithm.
(Multiblock) Partial Least Squares Regression for Python
A MATLAB/OCTAVE library for Multi-Label Classification
mmdetection源码注释
A valuable data science tool. Easily train and compare 6 different ML algorithms: K-Nearest Neighbour, Random Forest, RBF SVM, Simple Neural Network, Deep Neural Network, Recurrent Neural Network
Bayesian model selection for linear regression
Multi-label Classification using PyTorch on the CelebA dataset.
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.