AhahaJade's Stars
nmwsharp/diffusion-net
Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.
nmwsharp/DDGSpring2016
Code repository for 15-869 Discrete Differential Geometry at CMU in Spring 2016.
akash13singh/Spectral-Graph-Partitioning
Spectral Graph Partitioning based on http://ai.stanford.edu/~ang/papers/nips01-spectral.pdf
rcorbish/SpectralPartioning
Spectral Partitioning of graphs
PanShi2016/LOSP_Plus
Krylov Subspace Approximation for Local Community Detection in Large Networks
xqian37/FLCD
open-access code and relevant data for FLCD
dgleich/gaimc
Graph Algorithms in Matlab Code
crisbodnar/regularised-spectral-clustering
Python code for reproducing the results of Understanding Regularized Spectral Clustering via Graph Conductance
crharshaw/GSWDesign.jl
An efficient method for sampling from the Gram--Schmidt Walk Design.
danspielman/Laplacians.jl
Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
ahbarnett/nodaldomains
extract nodal domains, their genus and percolation properties, from 2D or 3D gridded functions
lanl-ansi/PowerModelsRestoration.jl
A PowerModels Extension for Optimization of Power Network Restoration
phines/dcsimsep
A DC load flow simulator of cascading (separation) in power systems
guojunyao419/OPF-ADMM
Using Alternating Direction Method of Multipliers to solve AC Optimal Power Flow Problem
SamChevalier/VoltageCollapse3Bus
Simulation and analysis of voltage collapse in a 3 bus power system
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
nickbel7/ntua-queuing-systems
ECE NTUA course for queuing systems in networks
MariosMertzanidis/QueueinSystems_NTUA
Simulation of various queueing systems in Octave
austinmw/Queueing-Theory
a little bit of MATLAB code from my queueing theory course
anhncs/Probabilistic-Graphical-Models
Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
fillipe-gsm/dtlz-test-functions
Set of files to run the DTLZ scalable multi-objective test suite
andylamp/federated-capacity-consensus
Introducing: Large Scale Capacity Consensus!
ivanbrugere/matlab-networks-toolbox
A set of graph/networks analysis functions in Octave. This fork focuses on MATLAB compatibility.
williamfiset/Algorithms
A collection of algorithms and data structures
Just-A-Visitor/Algorithmic-Pseudocode
This repository contains the pseudocode(pdf) of various algorithms and data structures necessary for Interview Preparation and Competitive Coding
Energy-MAC/InverterDynamicLinesModels
Grid-Coupled Dynamic Response of Battery-Driven Voltage Source Converters
learn-co-students/dsc-3-28-06-graph-theory-simple-shortest-path-seattle-ds-career-040119
learn-co-students/dsc-3-28-02-introduction-to-graph-theory-seattle-ds-career-040119
learn-co-students/graph_theory-seattle-ds
KalimAmzad/Graph-Theory-in-Python
Graph Theory Algorithm is implemented in python. Jupyter Notebook is used to demonstrate the concept and Networkx library is used in several algorithms to visualize the graph.