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Projects in Awesome Lists by RenatoMaynard

A curated list of projects in awesome lists by RenatoMaynard .

https://github.com/renatomaynard/gurobi-sensitivity-analysis

Linear Programming model for Production Planning with full Sensitivity Analysis, including shadow prices, reduced costs, and resource bounds.

dual-values duality gurobi gurobipy linear-programming lp mathamtical-optimization operations-research optimization reduced-cost sensitivity-analysis shadow-prices

Last synced: 23 Feb 2026

https://github.com/renatomaynard/a-mixed-integer-programming-model-for-production-planning

A mixed-integer programming model for an integrated production planning problem with preventive maintenance in the pulp and paper industry

gurobi-optimization gurobipy inventory-management lot-sizing mathematical-modelling mixed-integer-programming preventive-maintenance production-planning scheduling setup

Last synced: 28 Jun 2025

https://github.com/renatomaynard/tsp-models-and-algorithms

Traveling Salesman Problem DFJ MTZ GG formulations

cplex dfj docplex gg mtz python tsp tsp-dfj

Last synced: 19 Jul 2025

https://github.com/renatomaynard/branch-and-bound-for-multiple-knapsack-problem

A Python implementation of a branch-and-bound approach (plus a simple greedy heuristic) to solve a variation of the multiple knapsack problem where items have both individual and pairwise benefits.

branch-and-bound combinatorial-optimization heuristic-algorithms knapsack-problem multiple-knapsack-problem np-hard operations-research optimization-algorithms python quadratic-knapsack

Last synced: 01 Apr 2025

https://github.com/renatomaynard/a-multiple-population-coarse-grained-genetic-algorithm-to-solve-the-quadratic-assignment-problem-

A Multiple-population coarse-grained Genetic Algorithm to solve the Quadratic Assignment Problem

c cuda genetic-algorithm quadratic-assignment-problem

Last synced: 09 May 2026

https://github.com/renatomaynard/time-series-forecasting-methods

Time Series Forecasting Methods — A collection of Python implementations for essential time series forecasting techniques, including Simple, Double, Triple Exponential Smoothing, and Moving Averages.

data-science demand-forecasting exponential-smoothing forecasting holt-winters holt-winters-forecasting moving-average python python-for-everybody seasonality statistics time-series time-series-analysis timeseries-forecasting trend-analysis

Last synced: 17 May 2026

https://github.com/renatomaynard/supervised-machine-learning-models-pytorch-sklearn

This repository provides a comprehensive implementation of supervised machine learning models using PyTorch and Scikit-learn. It includes end-to-end workflows for both classification and regression tasks, covering data preprocessing, model training, evaluation, and comparison between traditional ML models

applied-machine-learning classification data-preprocessing deep-learning feature-engineering machine-learning ml-models ml-pipeline model-comparison model-evaluation python pytorch regression scikit-learn supervised-learning-algorithms

Last synced: 10 May 2026

https://github.com/renatomaynard/gurobi-mip-bounds-tracking

A Gurobi implementation that tracks upper and lower bounds for any Mixed-Integer Programming (MIP) problem using callbacks. Includes visualization with Matplotlib.

callback gurobi gurobipy lower-bounds mathematical-modelling matplotlib mip mixed-integer-programming operations-r optimization python upper-bounds

Last synced: 19 May 2026

https://github.com/renatomaynard/deepstream-multistream-layouts

Multi-camera DeepStream reference with dynamic layouts (mosaic, PiP, focus view), zero-copy paths, and latency-optimized settings. Includes config examples and layout switching without pipeline teardown.

ai application computer-vision deepstream detection gstreamer gstreamer-python multistream multistreaming real-time rtsp-stream rtsp-stream-viewer tensorrt tensorrt-inference yolo yolo11

Last synced: 24 Feb 2026

https://github.com/renatomaynard/unsupervised-machine-learning-models-pytorch-sklearn

This repository provides a comprehensive implementation of unsupervised machine learning models using PyTorch and Scikit-learn. It includes end-to-end workflows for both classification and regression tasks, covering data preprocessing, model training, evaluation, and comparison between traditional ML models

Last synced: 30 Jan 2026