Stars
Code for visualizing the loss landscape of neural nets
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
MarkLLM: An Open-Source Toolkit for LLM Watermarking.（EMNLP 2024 System Demonstration)
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
[NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
Solving tsp (travel sales problem) using ruin & recreate method.
The Lin-Kernighan Heuristic implemented in python
Official Implementation of the paper: INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
Python/Numba implemenation of of Lin-Kernighan-style TSP solver
[ICML 25] "Preference Optimization for Combinatorial Optimization Problems"
This is the implementation of the TextNAS algorithm proposed in the paper TextNAS: A Neural Architecture Search Space tailored for Text Representation.
Code for SIGKDD2025 paper: An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem
Neural Destruction Search for Vehicle Routing Problems
Source code for paper "2D-Ptr: 2D Array Pointer Network for Solving the Heterogeneous Capacitated Vehicle Routing Problem"
The PyTorch Implementation of "Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture"
Code for MACSIM: A Multi-Action Self-Improvement Method for Neural Combinatorial Optimization