Popular GitHub Repositories for Logistics

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D

ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification

Stock Market Price Prediction: Used machine learning algorithms such as Linear Regression, Logistics Regression, Naive Bayes, K Nearest Neighbor, Support Vector Machine, Decision Tree, and Random Forest to identify which algorithm gives better results. Used Neural Networks such as Auto ARIMA, Prophet(Time-Series), and LSTM(Long Term-Short Memory) then compare make Inferences about the model.

Official dataset and code for "SyllabusQA: A Course Logistics Question Answering Dataset" (ACL 2024)

Machine learning logistics and serving platform

Warehouse path optimization using Reinforcement Learning (RL) enables agents to learn efficient routes by interacting with the environment. The system improves over time by minimizing travel distance and adapting to dynamic warehouse conditions, leading to smarter and faster logistics operations.

Omnera AGENT is a modular multi-agent AI using federated learning & quantum encryption to enhance finance, manufacturing & logistics.

Luxnr AI is a modular multi-agent AI using federated learning & quantum encryption to enhance finance, manufacturing & logistics.

Create, deploy and interact with a Machine Learning model in real time. Project involves training a Logistics Regression model for a binary classification task and deploying the trained model in a webserver to obtain real-time predictions via rest API using a simple web page

Chatbot with complete knowledge of the OSU CSE Department, including logistics, faculties, events, etc.

Веб-приложение для оптимизации авиамаршрутов доставки почтовых отправлений с использованием роевого интеллекта

This repository provides a step-by-step visual understanding of reverse logistics process using AI-generated imagery created through ReAct-style prompts

An application designed to enhance supply chain visibility and efficiency. It features inventory tracking, analytics, simulated IoT data monitoring, delivery route optimization, and an AI chatbot assistant to provide conversational insights.

V.I.R.A.L. (Virtual Intelligence for Reconnaissance and Attack Logistics)

? E-commerce AI assistant for shipping risk analysis

Analysis of order consolidation into a single cargo unit by the supplier. Its impact on delivery time.

n8n node for CigoTracker API integration - manage deliveries, routes, and field service operations

Deploy AI agents effortlessly with the Agent as a Service (AaaS) platform. Scale your enterprise solutions and enhance efficiency. ??

RouterWise is a production-grade, modular MLOps pipeline built to optimize supply chains in the sensitive and prestigious art logistics sector. It is the intelligent backend of the upcoming PrecisioArt platform (Django-based), and delivers predictive insights and smart routing through a fully automated, monitored, and versioned ML lifecycle.