Description:

aqueduct 1.11.7

Framework to make youre prediction performance-efficient and scalable.

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
Supports multiple frameworks



Documentation

Videos about aqueduct
Getting started

Fundamentals



Example


Batching
Logging
Metrics
F.A.Q.
Additional features

Sentry support





Examples

Aiohttp
Flask



Installation
Install using pip:
pip install aqueduct
Moreover, aqueduct has “optional extras”

numpy - support types from numpy in shared memory
aiohttp - extension for aiohttp support(see more in examples)

pip install aqueduct[numpy,aiohttp]


Contact Us
Feel free to ask questions in Telegram: t.me/avito-ml

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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