Pinned Repositories
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.
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。
huzhangron's Repositories
huzhangron/Research-Papers-Data-Science-
Research papers for Deep learning, Machine learning and Artificial Intelligence
huzhangron/urban-audio-classifier
Urban sounds classification with Covnolutional Neural Networks
huzhangron/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
huzhangron/Python-100-Days
Python - 100天从新手到大师
huzhangron/lihang-code
《统计学习方法》的代码实现
huzhangron/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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
huzhangron/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
huzhangron/TILES
TILES: an algorithm for community discovery in dynamic social networks
huzhangron/Artificial_Bee_Colony_Optimization_for_dynamic_community_detection
huzhangron/lookie-lookie
Learning to track eye movement in the browser
huzhangron/zymNE
hidden community detection
huzhangron/mousetrap
Process and Analyze Mouse-Tracking Data
huzhangron/imagecluster
Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
huzhangron/crnn-audio-classification
UrbanSound classification using Convolutional Recurrent Networks in PyTorch
huzhangron/master-thesis-DCDT
In recent years, community detection has received increased attention thanks to its wide range of applications in many fields. While at first most techniques were focused on discovering communities in static networks, lately the research community’s focus has shifted toward methods that can detect meaningful substructures in evolving networks because of their high relevance in real-life problems. This thesis explores the current availability of empirical comparative studies of dynamic methods and also provides its own qualitative and quantitative comparison with the aim of gaining more insight in the performance of available algorithms that are expected to perform well in the context of social community detection. The qualitative comparison includes 13 algorithms, namely D-GT, Extended BGL, TILES, AFOCS, HOCTracker, OLCPM, DOCET, LabelRankT, FacetNet, DYNMOGA, DEMON and iLCD. The empirical analysis compares TILES, HOCTracker, OLCPM, DEMON and iLCD on synthetic RDyn graphs and the real graph, DBLP. In addition to the results of the empirical and qualitative results of the analysis, the thesis’s value lies in its wide coverage of the dynamic community detection problem.
huzhangron/CommunityDetection-1
Community network discovery by weighting a random walk algorithm with ontological information
huzhangron/topic-network
Topic modeling with text networks using community detection
huzhangron/dynamic-community-vis
Visualisation tool for tracking the life cycle of communities over time in a dynamic network
huzhangron/dppm
Matlab pipeline for simulating dynamical networks and evaluating dynamic community tracking methods, including CPM, MMM and DPPM
huzhangron/dynERGM_R
All R code for Time Evolving Community Detection using Hidden Markov Models in ERGMs and Clustering through Temporal ERGMs
huzhangron/kst
:exclamation: This is a read-only mirror of the CRAN R package repository. kst — Knowledge Space Theory. Homepage: https://homepage.uni-graz.at/en/cord.hockemeyer/
huzhangron/LFR-Benchmark_UndirWeightOvp
Extended version of the Lancichinetti-Fortunato-Radicchi Benchmark for Undirected Weighted Overlapping networks to evaluate clustering algorithms using generated ground-truth communities
huzhangron/Facial-Emotion-Recognition
Facial Emotion Recognition using a convolutional neural network.
huzhangron/CommunityDetection
Implements of community detection algorithms
huzhangron/CommunityDetectionAlgorithmImplementation
Implementation of Community Detection Algorithm by Hierarchical Clustering using Jaccard Coefficient for similarity measurement along with single linkage method.
huzhangron/kNNclassification
A package facilitating unsupervised classification via k-Nearest-Neighbors and graph-based Louvain community detection.
huzhangron/Interactive_Intelligent_Recommendation_System
community detection or graph clustering approach. The detected communities or clusters. content-based and collaborative filtering recommendation system
huzhangron/Eye-Tracker
Implemented and improved the iTracker model proposed in the paper "Eye Tracking for Everyone"
huzhangron/UrbanSound8K-audio-classification-with-ResNet
huzhangron/Social-network-analysis-project
Community discovery, robustness evaluation, Epidemic spreading, epidemic spreading models