19 docs tagged with "PADI"

GitHub Repo

CKN facilitates seamless connectivity between edge devices and the cloud through event streaming, enabling real‑time data capture and processing. By leveraging event‑stream processing, it captures, aggregates, and stores historical system‑performance data in a knowledge graph that models application behaviour and guides model selection and deployment at the edge.

System Architecture

The Patra Toolkit embeds transparency and governance directly into the training workflow. Integrated scanners collect essential metadata—data sources, fairness metrics, and explainability insights—during model training and then generate a machine‑actionable JSON model card. These cards plug into the Patra Knowledge Base for rich queries on provenance, version history, and auditing. Flexible back‑ends publish models and artifacts to repositories such as Hugging Face or GitHub, automatically recording lineage links to trace every model’s evolution.

Patra Frontend is the web interface for the Patra AI Cards framework, giving users a way to browse, search, submit, and edit model cards and datasheets without calling the Patra Knowledge Base API directly.

Status Notice

A collaborative machine learning platform for agricultural data analysis and model training with privacy-preserving features.

See the full documentation for detailed instructions on creating custom plug‑ins and streaming events to the knowledge graph.

How to Upload a Dataset

Installation

Hosted deployments (Tapis Pods)

Prerequisites

GitHub Repo

Vue 3 + Vite web interface for the Patra Knowledge Base — the frontend component of the Patra AI Cards framework. Browse model cards and datasheets, submit and edit records, and explore edge-deployment experiments.

# Patra Knowledge Base

Set up Environment Variables

Create a Custom CKN Plug-in

Getting Started with the Food Security Sandbox

Building a Patra Model Card