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A list of awesome resources for Playdate (https://play.date) game development and the Playdate SDK (https://play.date/dev/)
A deep learning-powered visual navigation engine to enables autonomous navigation of pocket-size quadrotor - running on PULP
SDK for Greenwaves Technologies' GAP8 IoT Application Processor
PsPIN: A RISC-V in-network accelerator for flexible high-performance low-power packet processing
pulp_soc is the core building component of PULP based SoCs
Kubernetes Operator for Pulp 3. Under active development.
Python Scripts that apply Operations Research (Mixed Integer Programming) to solve Shift Scheduling problems for workforces.
A Pulp plugin that manages Ansible content, i.e. roles, collections
Simple framework for modeling optimization problems in Python
Solves vehicle routing problem with Linear Programming using pulp package, which yields the optimal solution.
Containerfiles and other assets for building Pulp 3 OCI images
⛔ DEPRECATED ⛔ HERO Software Development Kit
Sketch Plugin for enabling utility commands for Shadows i.e. Copy, Paste, Cut and Delete Shadows across layers
A conference schedule optimiser using linear programming.
A Python program to assist MapleStory players in finding the ideal combination of Nodestones.
To implement Optimization (maximization) problem through Linear programming in Python Language.
GreenWaves Technologies RISC-V GAP: development platform for PlatformIO
Operations Research Tutorial with Python
This is a python application providing users with a GUI in order to download the FPL database by using the FPL API URL and make statistical calculations.
An extension PuLP, linear programming modeling tool
A repository dedicated to the mathematical modeling and solution of optimization problems, featuring practical examples in Stochastic Programming, Linear Programming (LP), and Mixed-Integer Linear Programming (MILP)
勤務表を自動で作成する無料アプリです。PuLPを使用しています。 (This is an automatic scheduling app using PuLP.)
This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.