macoj Goto Github PK

assortativity

This helps you measure assortativity in real-world networks.

awesome-dataviz

:chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.

bridgethegap

Open Sourced Data4Good: Bridge the Gap

crimerank

This code accompanies the paper "Learning to rank spatio-temporal hotspots"

easychair_send_email

If you can't beat them, join them: spamming about conferences.

embarrassingly_parallel_ipython

This is a simple tutorial on how to perform embarrassingly parallel data analysis in Python using ipyparallel and pandas

face_to_face_minority_dynamics

This repository will have the code for "Group mixing drives inequality in face-to-face gatherings"

gesis-48-bayesian-multilevel

Bayesian multilevel models course for Gesis 48. March 2019

graphml2metis

Who uses METIS format? Not many people. METIS users, we didn't forget you! This simple tool reads a graphml and spits it out in METIS format.

guerry

Maps, data and methods related to Guerry (1833) "Moral Statistics of France"

hnn_fpga

A VHDL model for Hopfield Neural Networks (HNN) for Routing in Communication Networks

homophilicntwminorities

The code generates preferential attachment networks with homophily and two groups.

idnns

explore DNNs via Infomration

information-bottleneck

Python implementation of the infomration bottleneck method (tishby et al, 1999)

introduction_graph_tool

Introduction to Python's Graph-Tool

jekyll

macoj.github.io

github pages http://macoj.github.io

network_swarm

partitions2graph

From partitions of a graph to a whole graph

phd

A list of resources on how/why to do a PhD

plotter

This is a helper for easily plot some graphs.

powerlaw

pso_dynamic_topology

A swarm with dynamic topology.

pso_gpu

Running Particle Swarm Optimization on Graphic Processing Units

pysbm

A Python Package for Stochastic Block Model Inference

russian-troll-tweets

scaling

Statistical methods for estimating scaling laws in urban data

scaling_laws_of_crime

Comparing crime in cities based on per capita rates and population scaling adjustment.

simulator

Do you like pool (multiprocessing) in Python? Do you want to run commands likewise? Not necessarily in Python? This is a simple tool to have experiments running in parallel.

snippets