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pecos
Python

pecos

PECOS - Prediction for Enormous and Correlated Spaces

by amzn · GitHub
543
Stars
111
Forks
Apache-2.0
License
2020
Created
1 yr ago
Last commit
approximate-nearest-neighbor-search
Category
Python
Language
approximate-nearest-neighbor-searchextreme-multi-label-classificationextreme-multi-label-rankingApache-2.0Python
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In plain words

Identify and rank relevant items from a huge list based on your input using a machine learning framework.

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544543
2026-07-202026-08-31
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📄 About

PECOS - Prediction for Enormous and Correlated Spaces

pecos has 543 stars on GitHub. It has been forked 111 times. pecos is written mainly in Python. It has been in active development since 2020. pecos is available under the Apache-2.0 license. Its main topics are approximate-nearest-neighbor-search, extreme-multi-label-classification, extreme-multi-label-ranking, machine-learning-algorithms.

❓ Frequently asked questions

What is pecos?

PECOS - Prediction for Enormous and Correlated Spaces

Is pecos open source?

pecos is an open-source project. It is released under the Apache-2.0 license.

Is pecos free?

Yes. pecos is free and open source — you can use, modify and self-host it.

What license does pecos use?

pecos is available under the Apache-2.0 license.

What language is pecos written in?

pecos is written mainly in Python.

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