OpenMesh AI

An adaptive artificial intelligence framework enabling collaborative machine learning across distributed systems.

Project Overview

OpenMesh AI is an open source AI collaboration platform enabling decentralized model training, knowledge sharing, and real-time analytics across heterogeneous compute environments.

Decentralized Learning

Collaborative Inference

Edge Optimization

Key Features

Model Federation

Distributed model training and knowledge synthesis across multiple independent organizations without sharing raw data.

Real-time Adaptation

Dynamic model updates and self-optimization based on changing data patterns and domain requirements.

Tech Stack

Python Framework

Core implementation using modern Python with NumPy, PyTorch, and scikit-learn for machine learning.

Distributed Computing

Built-in Dask and Ray integration for scalable parallel processing of large datasets.

API Gateway

RESTful API with OpenAPI specifications for seamless integration with existing systems.

Getting Started

Initialize Environment


                            pip install openmesh-ai

Set up your development environment with all required dependencies.

Start Model Training


                            from openmesh import Model

                model = Model.load("example")

Launch your first distributed machine learning task with minimal code.