Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.
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Updated
Aug 9, 2025 - Python
Intelligent Python Performance Optimization Tool Automatically profile, analyze, and accelerate your Python code with minimal effort.
A Python tool to monitor and manage Chrome process memory usage, featuring a user-friendly GUI and system tray support.
Parallel optimizer based on the Global Function Search
A flexible Particle Swarm Optimization (PSO) framework utilizing multiple inheritance in Python
A CLI to solve Linear Programming Problems.
JAX library for first- and second-order optimization sensitivity analysis.
A package that makes parameter surveys easy, from laptops to supercomputers.
Generates symmetric multi-objective Quadratic Assignment Problems with one distance matrix and multiple flow matrices.
Evolutionary Algorithm parameter optimisation template
🍋 Lemon – The Dependency Detox - Python Environment Cleanse Tool 🍋 Give your Python environments a refreshing cleanse! Analyzes Python environments to identify redundancies, conflicts, and opportunities to consolidate similar virtual environments for clarity and resource efficiency and suggests optimizations using UV.
Quick and easy visualization of your optimization algorithm!
General tools for optimizing SVM dual and similar problems.
Novel global optimization meta-heuristic based on the dynamics of the process of opinion formation.
Auto-scale Containerized Applications Targeting Financial Metrics: an implementation of the paper "Multi-Objective Economic Adaptation for Service Ecosystems on the Cloud" with modern tools
Killer Sudoku solvers. featuring MIP (GUROBI) and CP-SAT (OR-TOOLS)
Mathematical Optimization MCP Server with PuLP and OR-Tools support
Wing optimization
Python package for executing optimization algorithm.
"This repository contains codes, input files, output data, and analyses related to the energy optimization of molecular structures using software such as Gaussian, Orca, PELE, and OPTIM."
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