Update README.md (#3)
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Co-authored-by: Saira Qureshi <sairaq@users.noreply.huggingface.co>
README.md
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## Description: <br>
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NVIDIA Kumo-Anomaly provides anomaly detection functionality. Rather than relying only on transformers, it introduces diffusion modeling, stabilized through curriculum learning, and pairs it with adaptive thresholding methods in a model purpose-built for anomaly detection. Together, these elements address some of the most challenging issues in the field: noisy, high-dimensional signals that drift over time and contain rare, irregular events.
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This model is for research and development only.
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### License/Terms of Use: <br>
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Governing Terms: **Model:** The model is provided under the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0.html).
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## Description: <br>
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NVIDIA Kumo-Anomaly provides anomaly detection functionality. Rather than relying only on transformers, it introduces diffusion modeling, stabilized through curriculum learning, and pairs it with adaptive thresholding methods in a model purpose-built for anomaly detection. Together, these elements address some of the most challenging issues in the field: noisy, high-dimensional signals that drift over time and contain rare, irregular events.
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### License/Terms of Use: <br>
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Governing Terms: **Model:** The model is provided under the [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0.html).
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