{"id":18004714,"url":"https://github.com/oscarknagg/olympic-pytorch","last_synced_at":"2025-03-26T10:31:34.117Z","repository":{"id":33600259,"uuid":"157100271","full_name":"oscarknagg/olympic-pytorch","owner":"oscarknagg","description":"Python package implementing a Keras-like API for Pytorch","archived":false,"fork":false,"pushed_at":"2022-12-08T01:27:26.000Z","size":64,"stargazers_count":5,"open_issues_count":13,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-21T15:12:26.082Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/oscarknagg.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":"2018-11-11T16:51:26.000Z","updated_at":"2023-04-11T21:14:14.000Z","dependencies_parsed_at":"2023-01-15T01:36:01.160Z","dependency_job_id":null,"html_url":"https://github.com/oscarknagg/olympic-pytorch","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/oscarknagg%2Folympic-pytorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oscarknagg%2Folympic-pytorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oscarknagg%2Folympic-pytorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oscarknagg%2Folympic-pytorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/oscarknagg","download_url":"https://codeload.github.com/oscarknagg/olympic-pytorch/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245636522,"owners_count":20647983,"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":"2024-10-30T00:15:33.357Z","updated_at":"2025-03-26T10:31:33.783Z","avatar_url":"https://github.com/oscarknagg.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Olympic PyTorch\n\nOlympic implements a Keras-like API for PyTorch.\n\nThe goal of Olympic is to combine the joy of Pytorch's dynamic graph execution with the joy of Keras's high level abstractions\nfor training. Concretely, Olympic contains:\n\n1. The ``olympic.fit()`` function. This implements a very similar API\n    to Keras's ``model.fit`` and ``model.fit_generator`` methods in a\n    more functional and less object-oriented fashion and spares you\n    the effort of \"hand-rolling\" your own training loop.\n2. ``Callback`` objects that perform functionality common to most deep\n    learning training pipelines such as learning rate scheduling, model\n    checkpointing and csv logging. These integrate into ``olympic.fit()``\n    and spare you the effort of writing boilerplate code.\n3. Some helpful utility functions such as common metrics and some\n    convenience layers from Keras that are missing in PyTorch.\n\nDocumentation is available [here](https://olympic-pytorch.readthedocs.io/en/latest/)\n\nThis package is available on PyPi.\n\n```\npip install olympic\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foscarknagg%2Folympic-pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Foscarknagg%2Folympic-pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foscarknagg%2Folympic-pytorch/lists"}