zshwuhan Goto Github PK

nmf-toolbox

Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants

nmflib

nonnegative matrix factorization and some variants in numpy

nmflibrary

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

nmflogreg

Coupled Nonnegative Matrix Factorization and Logistic Regression

nmt.hybrid

State-of-the-art Neural Machine Translation Codebase including Hybrid Word-character Models

nmtf

An implementation of the paper "Nonnegative Matrix Tri-Factorization with Graph Regularization for Community Detection in Social Networks"

nmtf-1

Non-Negative Matrix Tri-Factorization for Co-clustering

nn_pred

Deep learning for time-series prediction.

nncf

Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"

nnformll

Neural Network Models for Multi-label learning

node2vec

nolineartimeseriesanalysis

The codes in the toolbox can be used to perform nonlinear time series analysis on single(or multi) channel data. This is done by mapping the single channel data to phase space representation using Taken's embedding theorem (compute_psv.m). The parameters - optimal delay and dimension are estimated using first minimum of MI (compute_tau.m) and FNN method (compute_dim) respectively. The recurrence network can be constructed from the phase space vector using ComputeRecurrenceNetwork_ANN.m or ComputeRecurrenceNetwork_fixedRR.m. The topology of the RN can be further analysed using graph theoreticl quantifiers (you need BCT toolbox for this). One can also compute the complexity-entrropy plane using get_mpr_complexity.m for which the ordinal patterns are computed using get_ordinal_pattern_dist.m (see the function descp for more details). Also, the tool box contains python codes to generate variety of uni(or multi) variate surrogate data.

nonlinearorthogonalnmf

A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering

notes-on-dirichlet-processes

:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

np-divs

Nonparametric nearest-neighbor-based estimators for divergences between distributions

npb_phenotyping

Bayesian Nonparametric Tensor Factorization for Phenotyping

npmm

A nonparametric model for online topic discovery with word embeddings

ntu-ml-2014fall

nvib

opinion-mining-system

新闻评论观点挖掘系统，粗粒度的分析出新闻网评观点的倾向和走势

optics-automatic-clustering

automatic hierarchical clustering of OPTICS reachability plots implemented in Python

optimize

优化相关的算法。包括线性规划、线搜索、无约束优化、约束优化等

oriana

Variational Inference library for Probabilistic Count Matrix Factorization (pCMF) and single-cell expression data analysis

outlier

implement some outlier detection algorithms

outlier-detect

Code that implements the novel outlier detection algorithms from my Ph.D. dissertation.

overlapping-community-detection

Implementation of "Overlapping Community Detection with Graph Neural Networks"

overlapping-nmi

paa

Partition and Anatomize Anonymization

pais

Centralized and distributed anonymization for high-dimensional healthcare data [TKDD 2010] - anonymize a relational dataset to achieve LKC-privacy

paper15-maper4timeseriesdata

CIKM 2015 - Sarah Masud Preum, John Stankovic, Yanjun Qi (2015) "MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction ",