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assemsabry
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cloud-pre

Time Series Forecasting
TimesFM
cloud-computing
resource-prediction
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TimesFM library
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🌩️ Cloud-Pre (500M)

Cloud-Pre is a specialized time-series foundation model designed for predicting cloud environment resource usage (CPU, RAM, Network).

It is fine-tuned based on Google's highly advanced google/timesfm-2.0-500m-pytorch.

Model Details

  • Architecture: Decoder-Only Transformer (TimesFM 2.0 Base)
  • Parameters: 500 Million
  • Fine-tuning Objective: Cloud CPU/Resource peak and anomaly forecasting to aid with Predictive Auto-scaling.
  • Developer: Assem Sabry

How to find the training code?

The complete open-source training pipeline and data engineering scripts can be found on my GitHub Repository.

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