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tqnnlabs/tqnn-tennessee-eastman-benchmark

TQNN Tennessee Eastman Benchmark Official benchmark notebook for evaluating the TQNN Fault-Tolerant Inference Platform on the Tennessee Eastman Process (TEP). Overview This repository demonstrates how to: Connect to the public TQNN API Authenticate using an API key Run fault-tolerant inference Evaluate prediction confidence Inspect data integrity Review runtime diagnostics The notebook is intended as a reproducible example for developers, researchers, and… See the full description on the dataset page: https://huggingface.co/datasets/tqnnlabs/tqnn-tennessee-eastman-benchmark.

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face

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TQNN Tennessee Eastman Benchmark

Official benchmark notebook for evaluating the TQNN Fault-Tolerant Inference Platform on the Tennessee Eastman Process (TEP).

Overview

This repository demonstrates how to:

—Connect to the public TQNN API
—Authenticate using an API key
—Run fault-tolerant inference
—Evaluate prediction confidence
—Inspect data integrity
—Review runtime diagnostics

The notebook is intended as a reproducible example for developers, researchers, and engineers exploring confidence-aware inference on industrial process data.

Repository Contents

—📓 Benchmark notebook
—🖼️ TQNNLabs banner
—📖 Documentation
—📊 Example outputs

Requirements

—Python 3.9+
—TQNN Python SDK
—TQNN API key

Learn More

—https://tqnnlabs.com
—https://github.com/tqnnlabs