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Duke Kunshan University
- Kunshan, China
- siyuan.cao@dukekunshan.edu.cn
- https://www.toothlessos.xyz
Stars
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
[TMLR 2025 → ICML 2026] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Code for tasks on Cainiao-LaDe (Last-mile Delivery dataset).
[ICLR 2026] Neural Combinatorial Optimization for Real-World Routing
SiglusExtract : A tool that can extract almost all resources used by SiglusEngine and repack some of them for translation.
Intercept and inspect Coding Agent API traffic from Claude Code, Codex CLI, Gemini CLI, Cursor CLI, OpenCode, Kimi/Kimi Code, Pi, and Hermes in a local trace viewer.
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Code of NeurIPS paper: arxiv.org/abs/2302.08224
Decomposition Strategies for Vehicle Routing Heuristics
Official implementation of the paper: [ICML 2026] URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization
Harrilee / BoardingBarcode
Forked from shooshx/BoardingBarcodeBoarding pass barcode generator
The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!
elkai is a Python library for approx. solving travelling salesman problems (TSP) based on LKH 3
🚀2.3x faster than MinIO for 4KB object payloads. RustFS is an open-source, S3-compatible high-performance object storage system supporting migration and coexistence with other S3-compatible platfor…
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
飞行手册FlightManual: FCOM, FCTM, SOP, QRH, NATOPS, ...
A simple CalDAV (calendar) and CardDAV (contact) server.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.