Binah
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
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
1 maintainer
Release files for binah 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| binah-0.0.1.tar.gz | 2.3 kB | Details |
Release files / binah-0.0.1.tar.gz
| Download URL | binah-0.0.1.tar.gz |
|---|---|
| Size | 2.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/1.12.1 pkginfo/1.4.2 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5
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