{"id":14958195,"url":"https://github.com/scikit-learn/ml-benchmarks","last_synced_at":"2025-10-19T07:31:39.931Z","repository":{"id":65980050,"uuid":"1402233","full_name":"scikit-learn/ml-benchmarks","owner":"scikit-learn","description":"Benchmarks for various machine learning packages","archived":false,"fork":false,"pushed_at":"2014-07-04T09:34:52.000Z","size":4908,"stargazers_count":91,"open_issues_count":3,"forks_count":49,"subscribers_count":46,"default_branch":"master","last_synced_at":"2024-10-29T14:21:48.777Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://scikit-learn.github.com/ml-benchmarks/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/scikit-learn.png","metadata":{"files":{"readme":"README.rst","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2011-02-23T13:12:44.000Z","updated_at":"2023-06-08T10:10:36.000Z","dependencies_parsed_at":"2023-02-19T18:15:37.350Z","dependency_job_id":null,"html_url":"https://github.com/scikit-learn/ml-benchmarks","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/scikit-learn%2Fml-benchmarks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scikit-learn%2Fml-benchmarks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scikit-learn%2Fml-benchmarks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scikit-learn%2Fml-benchmarks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/scikit-learn","download_url":"https://codeload.github.com/scikit-learn/ml-benchmarks/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":237088497,"owners_count":19253565,"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":"2024-09-24T13:16:27.062Z","updated_at":"2025-10-19T07:31:32.730Z","avatar_url":"https://github.com/scikit-learn.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"Benchmarks for various machine learning packages\n==================================================\n\nCollection of benchmarks comparing various python-based machine\nlearning packages.\n\nThis is meant to work with the development version of the libraries\nscikits.learn, mlpy, pybrain, pymvpa, mdp and shogun. It might be hard\nto get all packages working on the same machine, but benchmarks are\ndesigned so that if something fail it will just print the exception\nand go to the next one.\n\nTo execute a benchmark, just type from the prompt::\n\n    $ python benchmarks/bench_$name.py\n\nand you will se as output the mean and std deviation for the timing of\nrunning the benchmark 10 times with its extreme values removed.\n\nResults\n----------\n\nThe latest maintained results of these benchmarks can be found on\nhttp://scikit-learn.github.com/ml-benchmarks/\n\nOthers results of running these benchmarks on different boxes and with different software versions can \nbe found on:\n\n  - http://scikit-learn.sourceforge.net/ml-benchmarks/\n  - http://fseoane.net/ml-benchmarks/\n  - http://packages.python.org/milk/benchmarks.html\n\nThey differ because they are run with different versions of the packages, and different\ncompilation settings (e.g. linear algebra packs).\n\nReferences\n----------\n\n  - scikit-learn : http://scikit-learn.sourceforge.net\n  - MDP : http://mdp-toolkit.sourceforge.net/\n  - PyMVPA : http://pymvpa.org\n  - MLPy : https://mlpy.fbk.eu/\n  - Shogun: http://www.shogun-toolbox.org/\n  - PyBrain : http://pybrain.org/\n  - Milk : http://luispedro.org/software/milk\n  - Orange : http://orange.biolab.si/\n\nMisc\n----\n\nAuthor: Fabian Pedregosa \u003cfabian.pedregosa@inria.fr\u003e\n\nLicense: Simplified BSD\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscikit-learn%2Fml-benchmarks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fscikit-learn%2Fml-benchmarks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscikit-learn%2Fml-benchmarks/lists"}