Builder for performance-efficient prediction.
Project description
Framework for performance-efficient prediction.
Key Benefits
Increases the throughput of your machine learning-based service
Uses shared memory for instantaneous transfer of large amounts of data between processes
All optimizations in one library
Quickstart
Install using pip:
pip install aqueductMoreover, aqueduct has “optional extras”
numpy - support types from numpy in shared memory
aiohttp - extension for aiohttp support(see more in examples)
Documentation
Getting started
Additional features
Examples
Contact Us
Feel free to ask questions in Telegram: t.me/avito-ml
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