An object-oriented algebraic modeling language in Python for structured optimization problems.
A cryptocurrency arbitrage framework implemented with ccxt and cplex. It can be used to monitor multiple exchanges, find a multi-lateral arbitrage path which maximizes rate of return, calculate the optimal trading amount for each pair in the path given flexible constraints, and execute trades with multi-threading implemenation.
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
Access to all MiniZinc functionality directly from Python
A linear optimisation model for distributed energy systems. This is a mirrored repository. Development happens on GitLab.
A 2D/3D visualization of the Traveling Salesman Problem main heuristics
Fast algebraic modeling and mathematical optimization in Python
General purpose mathematical software system, compatible fork of https://github.com/sagemath/sage supporting modularized installation with pip. Main repository, containing Sage library (src/), modularized pip-installable packages (pkgs/), Sage distribution (build/). Source repo for most packages in https://pypi.org/org/passagemath/
🕷️ SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency
Video Stabilization with the L1 optimal camera paths technique.
A vendor-agnostic NMS for carrier-grade network simulation and automation
Retirement planner with great wisdom
Two solvers for finite two-player games: fully-mixed Nash equilibrium for m x n normal-form games via linear programming, and subgame-perfect equilibrium for extensive-form games via backward induction.
A Python package for visualizing the geometry of linear programs.
Optimise FPL squads
This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function
A Python tool to assist the task of scheduling a conference http://conference-scheduler.readthedocs.org
[AAAI 2025] ORQA is a new QA benchmark designed to assess the reasoning capabilities of LLMs in a specialized technical domain of Operations Research. The benchmark evaluates whether LLMs can emulate the knowledge and reasoning skills of OR experts when presented with complex optimization modeling tasks.
Optimization-Based Rule Learning for Classification
interior point method for linear programming
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