Popular GitHub Repositories for Last Mile Delivery

React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile ?

?? CML - Continuous Machine Learning | CI/CD for ML

?️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

? A practical and imaginary food delivery microservices, built with .Net 8, MassTransit, Domain-Driven Design, CQRS, Vertical Slice Architecture, Event-Driven Architecture, and the latest technologies.

A data standard to enable right-of-way regulation, digital policy, geofencing, and two-way communication between mobility companies and public agencies worldwide.

? Open Source AI & Data Landscape - provides overview of top tier projects in the open source AI and Data ecosystem, shows projects through GitHub data, funding or market cap, first and last commits, contributor count and much other information.

MLRun/Iguazio/Nuclio quality gate solution. The solution checks a quality of MLRun implementation/delivery.

Oinone is an enterprise-class productization engine that combines standardized R&D and agile delivery. Drawing from Odoo's engineering philosophy while significantly enhancing no-code capabilities, for both professional developers and citizen developers./Oinone是企业级产品化引擎，以低代码和无代码驱动的标准化研发与敏捷交付一体化研发框架。借鉴Odoo的工程化理念，并在无代码能力上显著增强，即面向专业研发，又能面向公民研发。

Oinone is an enterprise-class productization engine that combines standardized R&D and agile delivery. Drawing from Odoo's engineering philosophy while significantly enhancing no-code capabilities, for both professional developers and citizen developers./Oinone是企业级产品化引擎，以低代码和无代码驱动的标准化研发与敏捷交付一体化研发框架。借鉴Odoo的工程化理念，并在无代码能力上显著增强，即面向专业研发，又能面向公民研发。

A platform accelerating delivery of secure, trustworthy enterprise copilots.

Source Evaluation scripts for Humanity's Last Code Exam

Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many design choices.

An autonomous deep learning indoor delivery robot made with Jetson

This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short oral at IJCAI 2022.

A modern Umami analytics dashboard to show last 24 hours.

Implementation of the paper "Last Query Transformer RNN for knowledge tracing" in PyTorch. (Kaggle 1st place solution)

The purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.

Datasets, code and models from our driver gaze estimation works over the last few years.

Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.