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snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

som-tsp

Solving the Traveling Salesman Problem using Self-Organizing Maps

spanner-comm-detection

Public code release of Basuchwodhuri et al's paper titled Detecting Community Structures in Social Networks by Graph Sparsification http://dl.acm.org/citation.cfm?id=2888479

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

spp_net

SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

sppnet-pytorch

A simple Spatial Pyramid Pooling layer which could be added in CNN

svinet

This package implements algorithms for identifying overlapping communities in large undirected networks. The sampling based algorithms derive from stochastic variational inference under the (assortative) mixed-membership stochastic blockmodel. For details see the following reference: http://www.pnas.org/content/early/2013/08/14/1221839110.full.pdf

tsp-gnn

Graph Neural Network architecture to solve the decision variant of the Traveling Salesperson Problem (is there a Hamiltonian tour in G with up to a given cost?)

tsp-java

Guided Local Search (GLS) with 2-Opt Fast Local Search (FLS) applied to Kaggle, Traveling Santa 2018 - Prime Paths competition

ubcsat

The Stochastic Local Search SAT Solver from UBC

vega

AutoML tools chain

vfp-vrp

vrp-rl

Reinforcement Learning for Solving the Vehicle Routing Problem

vrptw

Solving VRPTW with metaheuristics

walkscan

Algorithms for local community detection in networks

wmw

A fast heuristic algorithm for community detection in large-scale complex networks.

zhuqingling.github.io

Mr. Zhu Qingling