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A framework for all things related to embeddings across heterogeneous data.

Project description

Binah is a system for training multi-modal embeddings jointly. We develop an image embedding and a text embedding where objects of similar abstract meaning are near each other in a shared vector space. With this we are able create image and video search using arbitrary language.

Screenshot

screenshot.png

Installation

pip install binah

Usage

Binah comes bundled with the etz command line tool.

To completely set up the project, simply run:

etz up

This command sets up the whole Binah system de novo. It takes days to run since it downloads datasets and trains complicated deep learning models.

After “etz up” is finished you can start the image search web demo. Simply run:

etz run search

Project details


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This version

0.0.1

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