Individual skill
tao-finetune-kumo-anomaly
Kumo-Anomaly — diffusion-based anomaly detection and fine-tuning for multivariate time series. Use when the user asks to "fine-tune Kumo-Anomaly", "run Kumo-Anomaly inference", "detect anomalies with diffusion", "time series anomaly detection", "finetune Kumo-Anomaly", "use perform_anomaly_analysis_with_diffusion", "automl Kumo-Anomaly", "hyperparameter search Kumo-Anomaly", "hyperparameter optimization" or mentions "curriculum_medium.yaml", "final_model.pth", "kumo-anomaly", "sdk/anomaly_analysis", or "TSDiffuser_Generic".
skills/tao-finetune-kumo-anomaly/SKILL.md
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- Last checked
- Nov 9, 2026
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- 3,910
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- anomaly-detection Declared skill tag
- time-series Declared skill tag
- diffusion Declared skill tag
- finetune Declared skill tag
- inference Declared skill tag
- automl Declared skill tag
- kumo-anomaly Declared skill tag
- engineering Derived category
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# Kumo-Anomaly
Diffusion-based anomaly detection and fine-tuning for multivariate time series. The model
reconstructs randomly masked segments and scores each timestep by MAE between reconstruction
and original signal; adaptive thresholding (SCS or MACS) converts scores to binary labels.
**Source code:** https://github.com/NVIDIA/Kumo-TS
**Pretrained weights:** https://huggingface.co/nvidia/Kumo-Anomaly
> **For the most up-to-date usage information**, refer to the README files in
> the Kumo-TS repository:
>
> - **[`Kumo-Anomaly/README.md`](https://github.com/NVIDIA/Kumo-TS/blob/main/Kumo-Anomaly/README.md)** — full SDK reference, model architecture, and API docs
> - **[`Kumo-Anomaly/examples/datasets/README.md`](https://github.com/NVIDIA/Kumo-TS/blob/main/Kumo-Anomaly/examples/datasets/README.md)** — dataset format, synthetic data generation, and CSV conventions