{"id":13422202,"url":"https://github.com/cbfinn/maml","last_synced_at":"2025-05-15T10:06:24.564Z","repository":{"id":40649426,"uuid":"94658530","full_name":"cbfinn/maml","owner":"cbfinn","description":"Code for \"Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks\"","archived":false,"fork":false,"pushed_at":"2020-01-19T22:05:37.000Z","size":572,"stargazers_count":2626,"open_issues_count":45,"forks_count":617,"subscribers_count":47,"default_branch":"master","last_synced_at":"2025-04-14T16:56:28.835Z","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/cbfinn.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":"2017-06-18T01:36:06.000Z","updated_at":"2025-04-14T08:56:20.000Z","dependencies_parsed_at":"2022-07-17T08:46:33.020Z","dependency_job_id":null,"html_url":"https://github.com/cbfinn/maml","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/cbfinn%2Fmaml","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbfinn%2Fmaml/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbfinn%2Fmaml/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbfinn%2Fmaml/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cbfinn","download_url":"https://codeload.github.com/cbfinn/maml/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":254319718,"owners_count":22051072,"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":"2024-07-30T23:00:39.049Z","updated_at":"2025-05-15T10:06:19.538Z","avatar_url":"https://github.com/cbfinn.png","language":"Python","funding_links":[],"categories":["Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. ICML 2017","Python"],"sub_categories":[],"readme":"# Model-Agnostic Meta-Learning\n\nThis repo contains code accompaning the paper, \t[Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks (Finn et al., ICML 2017)](https://arxiv.org/abs/1703.03400). It includes code for running the few-shot supervised learning domain experiments, including sinusoid regression, Omniglot classification, and MiniImagenet classification.\n\nFor the experiments in the RL domain, see [this codebase](https://github.com/cbfinn/maml_rl).\n\n### Dependencies\nThis code requires the following:\n* python 2.\\* or python 3.\\*\n* TensorFlow v1.0+\n\n### Data\nFor the Omniglot and MiniImagenet data, see the usage instructions in `data/omniglot_resized/resize_images.py` and `data/miniImagenet/proc_images.py` respectively.\n\n### Usage\nTo run the code, see the usage instructions at the top of `main.py`.\n\n### Contact\nTo ask questions or report issues, please open an issue on the [issues tracker](https://github.com/cbfinn/maml/issues).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcbfinn%2Fmaml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcbfinn%2Fmaml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcbfinn%2Fmaml/lists"}