{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/pylearn2-a-machine-learning-research-library","title":"Pylearn2: a machine learning research library","arxiv_id":"1308.4214","date":"2013-08-20","proceeding":null,"authors":["Ian J. Goodfellow","David Warde-Farley","Pascal Lamblin","Vincent Dumoulin","Mehdi Mirza","Razvan Pascanu","James Bergstra","Frédéric Bastien","Yoshua Bengio"],"abstract":"Pylearn2 is a machine learning research library. This does not just mean that\nit is a collection of machine learning algorithms that share a common API; it\nmeans that it has been designed for flexibility and extensibility in order to\nfacilitate research projects that involve new or unusual use cases. In this\npaper we give a brief history of the library, an overview of its basic\nphilosophy, a summary of the library's architecture, and a description of how\nthe Pylearn2 community functions socially.","url_abs":"http://arxiv.org/abs/1308.4214v1","url_pdf":"http://arxiv.org/pdf/1308.4214v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"pylearn2-a-machine-learning-research-library","repo_url":"https://github.com/lisa-lab/pylearn2","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"pylearn2-a-machine-learning-research-library","repo_url":"https://github.com/BouchardLab/pylearn2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"pylearn2-a-machine-learning-research-library","repo_url":"https://github.com/jacobpeplinskiV2/pylearn2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"pylearn2-a-machine-learning-research-library","repo_url":"https://github.com/kastnerkyle/pylearn2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"pylearn2-a-machine-learning-research-library","repo_url":"https://github.com/mehdidc/pylearn2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"pylearn2-a-machine-learning-research-library","repo_url":"https://github.com/thomkallor/pylearn2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"philosophy","task_name":"Philosophy"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1308.4214","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}