Abhay Sobhanan (abhaysobhanan)

abhaysobhanan

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Company:University of South Florida

Home Page:https://abhaysobhanan.github.io

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Abhay Sobhanan's starred repositories

RoutingBlocks

A modular Python package for the development of metaheuristic algorithms for Vehicle Routing Problems with Intermediate Stops

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mlrose

Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

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fontjoy

font vectors used for fontjoy.com

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JuliaTutorials

Learn Julia via interactive tutorials!

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DistributedEvolutionaryComputation

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.

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pykan

Kolmogorov Arnold Networks

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awesome-PhD

All the resources I wish I knew when starting my PhD. This repository is aimed to be a living, constantly developing resource where everybody can contribute with new resources!

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phd-resources.github.io

Not the research toolkit you deserve, but the one you need right now

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pyconcorde

Python wrapper around the Concorde TSP solver

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Optimization.jl

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

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rbenv

Manage your app's Ruby environment

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Knapsacks.jl

Julia package to solve Knapsack problems

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DeepRL-BiobjectiveKP

This repository maintains the codes and test instances used in he paper entitled "Solving Hard Bi-objective Knapsack Problems Using Deep Reinforcement Learning" Br. Dr. Hadi Charkhgard and His co-authors

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postman_problems

Graph optimization solvers for the Postman Problems

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TravelingSalesmanExact.jl

Solve the travelling salesman problem using a mixed integer optimization algorithm with JuMP

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filo

A Fast Iterated-Local-Search Localized Optimization algorithm for the CVRP.

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NeuOpt

This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.

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Metaheuristics.jl

High-performance metaheuristics for optimization coded purely in Julia.

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MultiObjectiveAlgorithms.jl

A Julia package for solving multi-objective optimization problems

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FPBH.jl

FPBH: A Feasibility Pump based Heuristic for Multi-objective Mixed Integer Linear Programming

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pdptw-instances

Instances for the Pickup and Delivery Problem with Time Windows (PDPTW) based on open data

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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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TSPDroneHGATAC.jl

A package that uses Hybrid Genetic Algorithm to solve any TSPD or FSTSP instance

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HRL-for-combinatorial-optimization

Hierarchical deep reinforcement learning for combinatorial optimization problem

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veroviz

Vehicle Routing Visualization package

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cvrp-decomposition

Decomposition Strategies for Vehicle Routing Heuristics

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MatNet

codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"

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RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

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