A numerical optimization package for solving k-adaptability problems

Official implementation of the ICLR paper FMIP: Joint Continuous-Integer Flow for Mixed-Integer Linear Programming.

Python code for the BSc thesis: "Machine learning to support cutting plane selection in two-stage robust optimization problems using a column-and-constraint-generation algorithm".

Neural Combinatorial Optimization

Decision-Focused Learning (DFL) for day-ahead scheduling of Underground Pumped Hydro Energy Storage (UPHES).

Codes and datasets for the paper Neural Embedded Mixed-Integer Optimization for Location-Routing Problems

从基础学科到通用人工智能 - 跨学科知识图谱

自动爬取电力系统相关论文，使用DeepSeek总结，形成网页，每日更新

Mobile Git client for syncing a repository between remote and a local directory

Automatically deriving the Karush–Kuhn–Tucker (KKT) conditions of optimization problems based on gurobipy.

An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.

Recommend new arxiv papers of your interest daily according to your Zotero libarary.

Code and computational experiments of the paper "Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs" by Cristian Ramírez-Pico, Ivana Ljubić and Eduardo Moreno. arXiv:2203.00752

My implementation of the Logic-based Benders decomposition algorithm from the paper: Logic-based Benders decomposition for the heterogeneous fixed fleet vehicle routing problem with time windows

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Résolution du problème du sac à dos multidimensionnel (Multidimensional Knapsack Problem) grâce à plusieurs approches méta-heuristiques : algorithme génétique, Variable Neighborhood Search (VNS), V…

使用 Deno 免费代理 Google Gemini，国内直连，不限地区/网络环境，打开即用。

Physics-Informed Reinforcement Learning for Smart V2G EV Charging and Distribution Network Voltage Support.

Code release for "Nonlinear Sequence Embedding by Monotone Variational Inequality" (ICLR 2025)

Contains all code from paper: "Data-Driven Estimation in Equilibrium: An Inverse Variational Inequality Approach"

Final Year Thesis on using Deep Learning as numerical method to solve Variational Inequalities and Partial Differential Equations.

This repository documents MATLAB implementation of a dynamic user equilibrium solver, including a dynamic network loading sub-routine

Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)

Official Code Repository for Personalized Subgraph Federated Learning (ICML 2023)

Data validation using Python type hints

This repository contains the code for paper Li, Ran, et al. "Decision-oriented learning for future power system decision-making under uncertainty." arXiv preprint arXiv:2401.03680 (2024). We develo…

Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"