{"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/dragon-a-computation-graph-virtual-machine","title":"Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework","arxiv_id":"1707.08265","date":"2017-07-26","proceeding":null,"authors":["Ting Pan"],"abstract":"Deep Learning has made a great progress for these years. However, it is still\ndifficult to master the implement of various models because different\nresearchers may release their code based on different frameworks or interfaces.\nIn this paper, we proposed a computation graph based framework which only aims\nto introduce well-known interfaces. It will help a lot when reproducing a newly\nmodel or transplanting models that were implemented by other frameworks.\nAdditionally, we implement numerous recent models covering both Computer Vision\nand Nature Language Processing. We demonstrate that our framework will not\nsuffer from model-starving because it is much easier to make full use of the\nworks that are already done.","url_abs":"http://arxiv.org/abs/1707.08265v1","url_pdf":"http://arxiv.org/pdf/1707.08265v1.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":"dragon-a-computation-graph-virtual-machine","repo_url":"https://github.com/neopenx/Dragon","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}