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community-detection

复杂网络中的社区发现算法

community-detection-using-ga

Community Detection using Genetic Algorithm

community-nr

communityalg

Algorithms and functions in Matlab for community detection in networks. Expands BrainConnectivity toolbox

communitydetection

Implements of community detection algorithms

communitydetection-1

Source Code for Published Papers

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)

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

curriculum-learning-paperlist-materials

Curriculum Learning related papers and materials

danmf

Deep Autoencoder-like NMF

darnn

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

data_driven_control

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

ddea-se

Offline data-driven evolutionary optimization using selective surrogate ensembles

deap

Distributed Evolutionary Algorithms in Python

decs

Source Code for Paper "Detecting the Evolving Community Structure in Dynamic Social Networks" WWWJ

deep-neuroevolution

Deep Neuroevolution

deepwalk

DeepWalk - Deep Learning for Graphs

diffugreedy-influence-maximization

doubly_stochastic_gradients

Code for doubly stochastic gradients

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

ecd

Source Code for Paper "Evolutionary Community Detection in Dynamic Social Networks" IJCNN2019

em2mnr

The MATLAB implementation of the EM2MNR and the test suite for multilayer network reconstruction problems.

emtnrcd

emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

evosax

Evolution Strategies in JAX 🦎

fastcommunitydetection

Finding community structure in very large networks, by Clauset-Newman-Moore

fcmpy

Fuzzy Cognitive Maps for Behavior Change Interventions and Evaluation

finder

FINDER - FInding key players in complex Networks through DEep Reinforcement learning (Nature Machine Intelligence)

fmtl

Federated Multi-Task Learning