neural-combinatorial-optimization
CommunityOptimize combinatorial problems with neural networks, achieve high performance in milliseconds.
Authorhung-phan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill solves complex combinatorial optimization problems by leveraging neural networks, providing high-performance solutions in milliseconds.
Core Features & Use Cases
- Combinatorial Optimization: Solves problems like TSP, VRP, JSSP, MaxCut, SAT, and knapsack.
- End-to-End Learning: Directly outputs solutions for the problem.
- Learning to Configure: Adjusts hyperparameters or heuristics for classical solvers.
- Learning to Advise: Provides low-level decisions to classical solvers.
- Use Case: Optimize a transportation route for a fleet, where classical solvers are too slow.
Quick Start
Use the neural-combinatorial-optimization skill to optimize a transportation route for a fleet.
Dependency Matrix
Required Modules
torchtorchvisiontorchtext
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: neural-combinatorial-optimization Download link: https://github.com/hung-phan/ml-skills/archive/main.zip#neural-combinatorial-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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