`powerly` is an R package for conducting sample size analysis for network models and more.
-
Updated
Jan 15, 2025 - R
#
network-models
Here are 9 public repositories matching this topic...
Transportation network modeling software designed for multimodal and intermodal freight transport
java gis assignment networks intermodal-freight-transport network-models modal-choice nodus multimodal-freight-transport
-
Updated
Jun 17, 2025 - Java
Mathematical simulations of various network models. Research project at the University of Bath's Mathematics Dep
-
Updated
Sep 29, 2022 - Python
Deep neural network model of haptic saliency
attention human-behavior peception network-models somatosensory motor-control sensory-processing sensorimotor-processing touch-receptors
-
Updated
Sep 11, 2020 - Python
Emergent Locality from Informational Graph Dynamics: A Constructive Model of Quantum-like Behavior
python latex simulation numpy open-science graph-theory matplotlib dynamical-systems arxiv complex-systems theoretical-physics self-organization emergent-behavior quantum-physics su2 network-models quantum-foundations su3 nonlocality informational-physics
-
Updated
Jun 17, 2025 - TeX
The Web Server Project is a comprehensive learning initiative designed for beginners to gain practical skills in building and managing web servers. Created by Dicoding Indonesia, this course covers essential topics in computer networking, including server deployment, network models, IP addressing, and security measures.
aws-lambda aws-s3 cloud-computing aws-ec2 aws-dynamodb cloud-services ip-address-web-service computer-networking cloud-engineering network-models computer-networks-course computer-networking-lab computer-networks-project computer-network-security computer-networking-and-internet-technologies
-
Updated
Oct 8, 2024 - JavaScript
-
Updated
May 27, 2025 - Jupyter Notebook
NYU Core UA 107 lecture demonstration notes
modeling probability pagerank data-visualization statistical-inference graph-theory teaching-materials random-walk network-models
-
Updated
Apr 28, 2022 - Jupyter Notebook
This repository includes LaTeX files and Python code for simulating emergent locality in informational graph dynamics. Explore how our model reveals stable clusters and disconnected regions, shedding light on quantum-like behavior. 🐙📊
python latex simulation numpy open-science graph-theory matplotlib dynamical-systems arxiv complex-systems theoretical-physics self-organization emergent-behavior su2 network-models quantum-foundations nonlocality informational-physics
-
Updated
Jun 21, 2025
Improve this page
Add a description, image, and links to the network-models topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the network-models topic, visit your repo's landing page and select "manage topics."