lyan11 Goto Github PK

bayesnet

Implemented Variable Elimination algorithm for inference in Bayesian Network

dataset-for-papers

deeplearning-500-questions

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

deeplearning.ai-assignments

electricity-load-disaggregation

Smart meter load disaggregation with Hidden Markov Models

em-gaussian

Python code for Expectation-Maximization estimate of Gaussian mixture model

github-roam

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.

learn

我的学习资料 Just learn assets

learngit

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

open-source-machine-learning-degree

Learn machine learning for free, because free is better than not-free.

pgm

Probabilistic graphical models in python

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

prml

PRML algorithms implemented in Python

prmlt

Matlab code for algorithms in PRML book

probabilistic-graphical-models

Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.

pyfac

Python implementation of Sum-Product for Factor Graphs

python-movingaverage

Function for computing a moving average of data.

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

robust_118bus

IEEE 118 bus data

siqpnilm

sparsenilm

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.

spider-course-3