{"id":13435447,"url":"https://github.com/sarus-tech/tf2-published-models","last_synced_at":"2025-03-18T11:31:12.981Z","repository":{"id":169318891,"uuid":"277562433","full_name":"sarus-tech/tf2-published-models","owner":"sarus-tech","description":"Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.","archived":false,"fork":false,"pushed_at":"2021-09-23T07:51:25.000Z","size":693,"stargazers_count":38,"open_issues_count":1,"forks_count":6,"subscribers_count":6,"default_branch":"master","last_synced_at":"2024-10-27T18:57:06.080Z","etag":null,"topics":["ai","generative-model","keras","tensorflow","tensorflow2"],"latest_commit_sha":null,"homepage":"https://sarus.tech/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sarus-tech.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}},"created_at":"2020-07-06T14:20:41.000Z","updated_at":"2024-10-12T17:14:21.000Z","dependencies_parsed_at":"2024-01-07T10:56:52.536Z","dependency_job_id":"a4df7a72-5d72-4400-8472-ad934ac1c7a3","html_url":"https://github.com/sarus-tech/tf2-published-models","commit_stats":null,"previous_names":["sarus-tech/tf2-published-models"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sarus-tech%2Ftf2-published-models","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sarus-tech%2Ftf2-published-models/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sarus-tech%2Ftf2-published-models/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sarus-tech%2Ftf2-published-models/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sarus-tech","download_url":"https://codeload.github.com/sarus-tech/tf2-published-models/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244210957,"owners_count":20416557,"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":["ai","generative-model","keras","tensorflow","tensorflow2"],"created_at":"2024-07-31T03:00:35.780Z","updated_at":"2025-03-18T11:31:09.769Z","avatar_url":"https://github.com/sarus-tech.png","language":"Python","funding_links":[],"categories":["Models/Projects","Sample Codes / Projects \u003ca name=\"sample\" /\u003e ⛏️📐📁"],"sub_categories":["General 🚧 \u003ca name=\"GeneralCode\" /\u003e"],"readme":"# Sarus published models\n\nSarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.\n\nThe required packages are managed with `pipenv` and can be installed using `pipenv install`. Please see the [pipenv documentation](https://pipenv-fork.readthedocs.io/en/latest/) for more information.\n\n## Philosophy\n\nThese models' implementations are intended to be easy to read and to adapt by making use of the latest Tensorflow 2 library and Keras API.\n\n## Basic usage\n\nTo install and train a model.\n\n```shell\npipenv install\npipenv shell\npython train.py\n```\n\nTo visualize losses and reconstructions.\n\n```shell\ntensorboard --logdir ./logs/\n```\n\n## Available models\n\n* [Simple Autoencoder](./simple_autoencoder)\n* [Variational Autoencoder (VAE)](./vae)\n* [Vector Quantized Autoencoder (VQ-VAE)](./vqvae)\n* [PixelCNN](./pixelcnn)\n* [Gated PixelCNN](./gated_pixelcnn)\n* [PixelCNN++](./pixelcnn_plus)\n* [Conditional Neural Processes](./cnp)\n* [PixelSNAIL](./pixelsnail)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsarus-tech%2Ftf2-published-models","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsarus-tech%2Ftf2-published-models","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsarus-tech%2Ftf2-published-models/lists"}