My practice and experiments codes in learning of machine learning.
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Updated
Feb 27, 2017 - Jupyter Notebook
My practice and experiments codes in learning of machine learning.
A recommendation system for Restaurants!
Using probabilistic matrix factorization to operationalize Harrison Hayford's draft hypotheses of Moby-Dick
Probabilistic Matrix Factorization on MovieLens 100K
Movie Recommender for the Netflix Challenge. Blend of SVD, TimeSVD++, RBMs, and Parallel Matrix Factorization
Binless weighted histogram analysis method (WHAM) aka multi-state Bennet acceptance ratio (MBAR) with the ability to combine umbrella sampling simulations with different restraints and project onto reaction coordinates other than ones sampled at
iPython notebooks for collecting and analyzing data on the Presidential Management Fellows program
A previous project based on scikit-learn in COMP 5212, HKUST. The project includes collaborative filtering based recommendation system (Matrix Factorization).
Implements binomial distribution PMF and CDF functions with math/big support
An implementation of Probabilistic Matrix Factorization in Amazon Product Reviews.
Probabilistic Matrix Factorization for Recommendation by R。使用R语言实现了矩阵分解、概率矩阵分解算法。
Using Matrix Factorization/Probabilistic Matrix Factorization to solve Recommendation。矩阵分解进行推荐系统算法。
在Yelp数据集上摘取部分评分数据进行多种推荐算法(SVD,SVDPP,PMF,NMF)的性能对比。Some rating data are extracted from yelp dataset to compare the performance of various recommendation algorithms(SVD,SVDPP,PMF,NMF).
CBIR based on image histograms and cdf of image histograms.
This project implements the basic probabilistic matrix factorization algorithm.
The PolyMesh 3D file format, library, and toolset
Multi-scale model of E. coli chemotaxis
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