{"id":13799079,"url":"https://github.com/ElPapi42/DeepBay","last_synced_at":"2025-05-13T06:32:13.972Z","repository":{"id":62567368,"uuid":"217388614","full_name":"elpapi42/deepbay","owner":"elpapi42","description":"Tensorflow/Keras Plug-N-Play Deep Learning  Models Compilation","archived":false,"fork":false,"pushed_at":"2019-12-22T14:29:05.000Z","size":67,"stargazers_count":4,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-04-23T19:24:56.107Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://pypi.org/project/deepbay/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/elpapi42.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-10-24T20:21:45.000Z","updated_at":"2022-09-26T07:33:05.000Z","dependencies_parsed_at":"2022-11-03T16:16:03.752Z","dependency_job_id":null,"html_url":"https://github.com/elpapi42/deepbay","commit_stats":null,"previous_names":[],"tags_count":11,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elpapi42%2Fdeepbay","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elpapi42%2Fdeepbay/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elpapi42%2Fdeepbay/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elpapi42%2Fdeepbay/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/elpapi42","download_url":"https://codeload.github.com/elpapi42/deepbay/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225040337,"owners_count":17411460,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-08-04T00:00:58.613Z","updated_at":"2024-11-18T13:31:52.780Z","avatar_url":"https://github.com/elpapi42.png","language":"Python","funding_links":[],"categories":["Libraries"],"sub_categories":[],"readme":"[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/)\n[![Development Status](https://github.com/ElPapi42/DeepBay/workflows/build/badge.svg?branch=development)](https://github.com/ElPapi42/DeepBay/actions?query=workflow%3A%22Test+Package%22)\n[![GitHub version](https://badge.fury.io/gh/Elpapi42%2FDeepBay.svg)](https://badge.fury.io/gh/Elpapi42%2FDeepBay)\n[![Last Commit](https://badgen.net/github/last-commit/ElPapi42/DeepBay)](https://github.com/ElPapi42/DeepBay/graphs/commit-activity)\n\n\n# DeepBay\nThis project was created with the objective of compile Machine Learning Architectures created using Tensorflow or Keras. The architectures must be provided as a ready-to-use Plug-and-Play module that can be easily integrated into any existing project or architecture design.\n\n## Installation\nYou can use pip for install this from [PyPi](https://pypi.org/project/deepbay/):\n```\npip install deepbay\n```\n\n## Quick Start\nYou can use any architecture inside deepbay as an self-contained model ready to be trained:\n```python\nimport tensorflow as tf\nimport deepbay\n\ndenseblock = deepbay.DenseBlock(units=1)\n```\nOr you can integrate it to any existing architecture, just use it as any other keras layer:\n```python\nimport tensorflow as tf\nimport deepbay\n\nmodel = tf.keras.models.Sequential()\nmodel.add(deepbay.DenseBlock(units=1))\n```\nKeep an eye on input/output shapes, you can found them in the class documentation inside every module\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FElPapi42%2FDeepBay","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FElPapi42%2FDeepBay","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FElPapi42%2FDeepBay/lists"}