A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
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Updated
Dec 22, 2018 - Python
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem
CapsLayer: An advanced library for capsule theory
Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.
RIDE is a Python library designed to accelerate Dijkstra's algorithm on diverse graph structures using a hierarchical approach
A routing algorithm based on QLearning
Repository for various solutions to the vehicular routing problem using AI
A rendezvous hashing and service routing toolkit for Python.
This a sample code of implementing CPLEX algorithm on capacitated vehicle routing problem with time window constraints (VRPTW)
Hierarchical Directed Capacitated Arc Routing Problem (HDCARP)
A dynamic Python-based routing and package management system for optimizing delivery schedules and operations. Designed for WGUPS, it showcases efficient use of algorithms and data structures for real-world logistics solutions.
This project is aiming to solve multiple vehicle routing problems.
Always Heading for the Peak: Learning to Route with Domain Knowledge (INFOCOM'20 poster)
Non-overlapping Path Algorithm for Jellyfish network.
Free, intelligent routing for your logistics β now on Python.
This project applies a hybrid heuristic-simplex algorithm to solve for optimal school bus routes in the Boston school district. The algorithm is able to achieve O(N) time on average, compared to Simplex algorithm's O(2^N) time.
Modelling mobile network communication hierarchy and simulating mobile location tracking.
NFOpt is a tool for optimizing network flows by formulating and solving several types of optimization problems as well as multicommodity flow routing.
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