{"id":20437007,"url":"https://github.com/hayashi-yudai/ml_models","last_synced_at":"2025-04-12T21:51:06.035Z","repository":{"id":39853472,"uuid":"182526641","full_name":"Hayashi-Yudai/ML_models","owner":"Hayashi-Yudai","description":"Implementation of machine learning models by Python with Tensorflow. ArcFace/UNet/ACoL","archived":false,"fork":false,"pushed_at":"2023-07-25T21:40:55.000Z","size":99743,"stargazers_count":4,"open_issues_count":12,"forks_count":6,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-09T00:12:32.321Z","etag":null,"topics":["image-processing","keras-tensorflow","machine-learning","pipenv","python","python3","tensorflow"],"latest_commit_sha":null,"homepage":"","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/Hayashi-Yudai.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-04-21T11:52:01.000Z","updated_at":"2023-04-17T14:51:26.000Z","dependencies_parsed_at":"2024-11-15T08:46:43.971Z","dependency_job_id":"642e2167-5bbe-4aed-8dbd-08158340fe11","html_url":"https://github.com/Hayashi-Yudai/ML_models","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hayashi-Yudai%2FML_models","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hayashi-Yudai%2FML_models/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hayashi-Yudai%2FML_models/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hayashi-Yudai%2FML_models/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Hayashi-Yudai","download_url":"https://codeload.github.com/Hayashi-Yudai/ML_models/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248637832,"owners_count":21137538,"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":["image-processing","keras-tensorflow","machine-learning","pipenv","python","python3","tensorflow"],"created_at":"2024-11-15T08:46:32.795Z","updated_at":"2025-04-12T21:51:06.006Z","avatar_url":"https://github.com/Hayashi-Yudai.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ML Models\n\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\nThis repository implements various machine learning models with Python/Tensorflow. I treat mainly \"Image processing\" in it.\n\n|  Model  |              Paper               |       Status       |\n| :-----: | :------------------------------: | :----------------: |\n|  U-Net  | https://arxiv.org/abs/1505.04597 | :white_check_mark: |\n|  ACoL   | https://arxiv.org/abs/1804.06962 | :white_check_mark: |\n| Arcface | https://arxiv.org/abs/1801.07698 | :white_check_mark: |\n\nYou can use these models for training or validation.\n\n## Requirements\n\n- Python 3.6\u003e=\n- Tensorflow 2.4.0\u003e=\n- PIL\n- Imgaug\n- Numpy\n- Scipy\n- Matplotlib\n\nI am managing these libraries with pipenv. If you do not have pipenv, install with pip\n```bash\npip install pipenv\n```\nYou can see [latest document](https://docs.pipenv.org/en/latest/) to understand the usage more\n\nTo install all libraries, you run\n```\n$ pipenv install\n```\n\n## Usage\n\nHow to use each model is written in README in the each model. Basically you can training with\n\n```\n$ pipenv run python -m $(MODEL_NAME)/train $(options)\n```\n\n## Future Plans\n- Modularize this repository to enable users to import whole models\n\n## Licence\n\n\"ML models\" is licenced under the MIT licence.\n\n(C) Copyright 2023, Yudai Hayashi\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhayashi-yudai%2Fml_models","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhayashi-yudai%2Fml_models","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhayashi-yudai%2Fml_models/lists"}