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  [![LICENSE](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/sebasmos/AML4CPU/blob/main/LICENSE)
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- # AML4CPU: Implementation of Adaptive Machine Learning for Resource-Constrained Environments
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- Official PyTorch and River implementation of *Adaptive Machine Learning for Resource-Constrained Environments* presented at DELTA 2024, ACM SIGKDD KDD 2024, Barcelona, Spain.
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  - 📄 **Paper-Conference**: [Adaptive Machine Learning for Resource-Constrained Environments](https://aiimlab.org/pdf/events/KDD_2024_Workshop_On_Discovering_Drift_Phenomena_in_Evolving_Landscape_DELTA/Adaptive%20Machine%20Learning%20for%20Resource-Constrained%20Environments.pdf)
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  - 🤗 **Dataset on HuggingFace**: [adaptive_cpu_utilisation_dataset](https://huggingface.co/datasets/ICOS-AI/adaptive_cpu_utilisation_dataset/tree/main)
 
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  [![LICENSE](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/sebasmos/AML4CPU/blob/main/LICENSE)
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+ # AML4CPU: Results of paper: ¨Adaptive Machine Learning for Resource-Constrained Environments¨
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  - 📄 **Paper-Conference**: [Adaptive Machine Learning for Resource-Constrained Environments](https://aiimlab.org/pdf/events/KDD_2024_Workshop_On_Discovering_Drift_Phenomena_in_Evolving_Landscape_DELTA/Adaptive%20Machine%20Learning%20for%20Resource-Constrained%20Environments.pdf)
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  - 🤗 **Dataset on HuggingFace**: [adaptive_cpu_utilisation_dataset](https://huggingface.co/datasets/ICOS-AI/adaptive_cpu_utilisation_dataset/tree/main)