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pgrouting

Repository contains pgRouting library. Development branch is "develop", stable branch is "master"

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

pickup-delivery-route-finder

CMPUT 275 Final Project: Find an the most efficient order route to pickup and deliver multiple orders, a variation of the travelling salesman problem.

pickup-delivery-vrp

Naive branching implementation of a specific pick-up and delivery vehicle routing optimization problem.

pickup_delivery_tsp

An implementation of the pickup and delivery traveling salesman problem

powerful-gnns

How Powerful are Graph Neural Networks?

pyqubo

Python DSL for constructing QUBOs from mathematical expressions.

pyrosetta-basic

pyscipopt

Python interface for the SCIP Optimization Suite

python-ga-vrptw

A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows

python-ga-vrptw-master

pythonprojects

A Portfolio of Python Projects

pytorch-drl4vrp

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pyvibdmc

A general purpose library to study vibrational problems using diffusion monte carlo

qbsolv

Qbsolv,a decomposing solver, finds a minimum value of a large quadratic unconstrained binary optimization (QUBO) problem by splitting it into pieces solved either via a D-Wave system or a classical tabu solver. (Note that qbsolv by default uses its internal classical solver. Access to a D-Wave system must be arranged separately.)

qio-samples

Samples for using optimization solvers through Azure Quantum.

qmc

#quantum-annealing #qunatum-computing #TSP #quantum-montecarlo

qmcpack

Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids.

qmctorch

Pytorch Implementation of Real Space Quantum Monte Carlo Simulations of Molecular Systems

quantum-diffusion-monte-carlo

Programs and data implementing QDMC calculation methods for systems of quantum particles.

quantum-monte-carlo-methods

Quantum Monte Carlo methods for Ising model

quantum-reinforcement-learning

Jupyter notebooks of the simulations ran as part of a semester project on "Quantum Reinforcement Learning and Projective Simulation" at Télécom ParisTech + internship report "On the Quantum Speed-up of Markov Chain Monte Carlo Methods for Reinforcement Learning" completed at the University of Innsbruck

quantum_tsp

quantumcomputingbook

Companion site for the textbook Quantum Computing: An Applied Approach

quantumjsp

A heuristic approach on how to optimally schedule jobs using D-Wave's quantum computer

qubitrbm

A Quantum circuit simulator based on Restricted Boltzmann Machines.

quip

Quantum Integer Programming Syllabus

revolver

Revolver: Vertex-centric Graph Partitioning Using Reinforcement Learning