{ "info": { "author": "JJ Ben-Joseph", "author_email": "opensource@phrostbyte.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3 :: Only", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": "Binah\n=====\n\nBinah is a system for training multi-modal embeddings jointly. We develop\nan image embedding and a text embedding where objects of similar abstract \nmeaning are near each other in a shared vector space. With this we are \nable create image and video search using arbitrary language.\n\nScreenshot\n~~~~~~~~~~\n\n.. image:: screenshot.png\n\nInstallation\n~~~~~~~~~~~~\n\n::\n\n pip install binah\n\nUsage\n~~~~~\n\nBinah comes bundled with the etz command line tool.\n\nTo completely set up the project, simply run:\n\n::\n\n etz up\n\nThis command sets up the whole Binah system de novo. It takes days to \nrun since it downloads datasets and trains complicated deep learning \nmodels.\n\nAfter \"etz up\" is finished you can start the image search web demo.\nSimply run:\n\n::\n\n etz run search", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://etzai.github.io/", "keywords": "machine_learning artificial_intelligence devops", "license": "Apache", "maintainer": "", "maintainer_email": "", "name": "binah", "package_url": "https://pypi.org/project/binah/", "platform": "", "project_url": "https://pypi.org/project/binah/", "project_urls": { "Homepage": "https://etzai.github.io/" }, "release_url": "https://pypi.org/project/binah/0.0.1/", "requires_dist": null, "requires_python": ">=3.6", "summary": "A framework for all things related to embeddings across heterogeneous data.", "version": "0.0.1" }, "last_serial": 4357800, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "f769fff642d692ad4d3dd98e526aec29", "sha256": "79049909eaf5c8f59446fbf58efbefd5ba7acb39047f367f99af3d27b0e193f4" }, "downloads": -1, "filename": "binah-0.0.1.tar.gz", "has_sig": false, "md5_digest": "f769fff642d692ad4d3dd98e526aec29", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6", "size": 2290, "upload_time": "2018-10-09T22:28:39", "url": "https://files.pythonhosted.org/packages/14/9a/1fb860ef01a23fc425e9368844a430e484b8ce7c49849cb1485c32a026c2/binah-0.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "f769fff642d692ad4d3dd98e526aec29", "sha256": "79049909eaf5c8f59446fbf58efbefd5ba7acb39047f367f99af3d27b0e193f4" }, "downloads": -1, "filename": "binah-0.0.1.tar.gz", "has_sig": false, "md5_digest": "f769fff642d692ad4d3dd98e526aec29", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.6", "size": 2290, "upload_time": "2018-10-09T22:28:39", "url": "https://files.pythonhosted.org/packages/14/9a/1fb860ef01a23fc425e9368844a430e484b8ce7c49849cb1485c32a026c2/binah-0.0.1.tar.gz" } ] }