An object-oriented algebraic modeling language in Python for structured optimization problems.
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Updated
Aug 4, 2025 - Python
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.
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
A linear optimisation model for distributed energy systems
A 2D/3D visualization of the Traveling Salesman Problem main heuristics
Access to all MiniZinc functionality directly from Python
🕷️ SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency
A vendor-agnostic NMS for carrier-grade network simulation and automation
Video Stabilization with the L1 optimal camera paths technique.
Optimise FPL squads
A Python package for visualizing the geometry of linear programs.
A Python tool to assist the task of scheduling a conference http://conference-scheduler.readthedocs.org
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
Optimization-Based Rule Learning for Classification
interior point method for linear programming
🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .
Linear Programming Diet Experiments
Early retirement financial calculator
[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.
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