Linear optimization with N-D labeled arrays in Python
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Updated
Oct 10, 2026 - Python
Linear optimization with N-D labeled arrays in Python
Simple framework for modeling optimization problems in Python
Ultra-lightweight, native Windows transparent file compressor built in Rust. Leverages the Windows Overlay Filter (WOF) to save disk space without performance loss. Features a modern, bloat-free Win32 GUI, batch processing, and multithreaded compression (XPRESS/LZX). Zero dependencies, <1MB binary.
Extract and fully reconstruct Windows Mobile / Windows CE ROMs
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aPLib/LZNT1/XPRESS compression library implemented in pure Go
This repository, created for an Operations Research module, contains scripts employing the Branch-and-Bound algorithm for linear optimization. Utilizing SciPy and Xpress libraries, the scripts solve and visually illustrate the optimization process, aiding in the understanding of the algorithm's application in Operations Research.
A simple yet powerful expression language for .net string literals.
Implementation of optimization model for autonomous vehicles using mosel (Express) and some small scripts in Python to generate data.
Pure-Rust, panic-free decompressor for Microsoft Xpress-Huffman ([MS-XCA] §2.2.4) — the codec behind Win10+ prefetch, hiberfil.sys, SMB3 and registry-hive compression. Cross-platform, no Windows API.
Simple and minimalistic web framework with extended features
Xpress Mosel exercises for my subject of Operative Investigation Models (University of Valladolid)
practice of sensitivity analysis in python with xpress
A collection of custom data structures and user-friendly functions for mathematical optimization modeling with DOcplex, gurobipy, Xpress, and highspy.
Integer Programming Implementation in Xpress
Native API Based File Compressor / Decompressor
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