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Tag: Data pipelines and messaging
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1–11 of 11 · Most stars

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

A micro workers class that easily manages a pool of threads to optimise simultaneous jobs and jobs endings, for MicroPython (used on Pycom modules & ESP32)

Production-grade Server-Sent Events (SSE) for Fiber v3. Event coalescing, priority lanes, topic wildcards, adaptive throttling, built-in auth, Prometheus metrics, graceful drain.