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a5--socila-networking--local-community-detection-using-ensemble-clustering

Local community detection using Ensemble clustering

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

artificial_bee_colony_optimization_for_dynamic_community_detection

awesome-community-detection

A curated list of community detection research papers with implementations.

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bv-nice

A generative Bayesian estimation framework for individualized treatment effect (ITE) estimation, integrates representation learning, adversarial matching and causal estimation.

cheat-detection

System for detection of abnormal or cheating activities in exam. This is done by using artificial neural networks for detecting the body posture of the student during the examination using the cctv footage of the classroom. Actions like turning back, bending etc are detected. Faces are registered to a database by pre-computing the face embeddings of the students.The student is recognised using facial recognition and a report about his activities along with a timestamp is sent to the examiners following which action can be taken after reviewing the report . Technologies involved are: machine learning for detection of student cheating activity in exam; OpenCV and deep learning for face recognition and identification. The database used is SQLite.

community-detect

Community detection using attribute and structural similarities.

community-detection-based-on-similarities

community-tracking

Timerank: Tracking the Evolution of Communities in Dynamic Social Networks

communitydetection

Implements of community detection algorithms

communitydetection-1

Community network discovery by weighting a random walk algorithm with ontological information

communitydetection-2

Community detection in graphs (Stochastic block model, Bethe Hessian, Spectral clustering)

communitydetectionalgorithmimplementation

Implementation of Community Detection Algorithm by Hierarchical Clustering using Jaccard Coefficient for similarity measurement along with single linkage method.

communitydetectioncodes

Some overlapping community detection algorithms (Until 2016). by Yulin Che (https://github.com/CheYulin) for the PhD qualification exam (survey on community detection algorithms)

comtemp

Community detection in temporal networks using multi-layer technique

crnn-audio-classification

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

data-science-notes

数据科学的笔记以及资料搜集

deepcommunitydetection

PyDCD: A Deep Learning-Based Community Detection Software in Python for Large-scale Networks

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

demon

DEMON: a local-first discovery method for overlapping communities.

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

dppm

Matlab pipeline for simulating dynamical networks and evaluating dynamic community tracking methods, including CPM, MMM and DPPM

dyconet

A Gephi plugin for community detection in dynamic networks

dynamic-community-tracking

Implementation of : "Greene, Derek, Donal Doyle, and Padraig Cunningham. "Tracking the evolution of communities in dynamic social networks." Advances in social networks analysis and mining (ASONAM), 2010 international conference on. IEEE, 2010."

dynamic-community-vis

Visualisation tool for tracking the life cycle of communities over time in a dynamic network

dynamic_community_detection

dynamic_social_networks

MSc Thesis code focusing in moving, according to the random walk and the brownian motion mobility models, social networks that exhibit certain characteristics (e.g high clustering, assortativity, community structure).

dyncomm-r-package

Dynamic Network Community Detection - R Package