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Implemented Variable Elimination algorithm for inference in Bayesian Network
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Smart meter load disaggregation with Hidden Markov Models
Python code for Expectation-Maximization estimate of Gaussian mixture model
GitHub 漫游指南- a Chinese ebook on how to build a good build on Github. Explore the users' behavior. Find some thing interest.
我的学习资料 Just learn assets
Source Code for the book: Machine Learning in Action published by Manning
Learn machine learning for free, because free is better than not-free.
Probabilistic graphical models in python
Fast, flexible and easy to use probabilistic modelling in Python.
PRML algorithms implemented in Python
Matlab code for algorithms in PRML book
Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
Python implementation of Sum-Product for Factor Graphs
Function for computing a moving average of data.
Collection of popular and reproducible image denoising works.
IEEE 118 bus data
The super-state hidden Markov model disaggregator that uses a sparse Viterbi algorithm for decoding. This project contains the source code that was use for my IEEE Transactions on Smart Grid journal paper.
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.