{"id":13398305,"url":"https://github.com/chainer/chainer","last_synced_at":"2025-05-13T15:11:47.849Z","repository":{"id":33269910,"uuid":"36914478","full_name":"chainer/chainer","owner":"chainer","description":"A flexible framework of neural networks for deep 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As [announced](https://chainer.org/announcement/2019/12/05/released-v7.html), Chainer is under the maintenance phase and further development will be limited to bug-fixes and maintenance only.***\n\n----\n\n\u003cdiv align=\"center\"\u003e\u003cimg src=\"https://raw.githubusercontent.com/chainer/chainer/master/docs/image/chainer_red_h.png\" width=\"400\"/\u003e\u003c/div\u003e\n\n# Chainer: A deep learning framework\n\n[![pypi](https://img.shields.io/pypi/v/chainer.svg)](https://pypi.python.org/pypi/chainer)\n[![GitHub license](https://img.shields.io/github/license/chainer/chainer.svg)](https://github.com/chainer/chainer)\n[![travis](https://img.shields.io/travis/chainer/chainer/master.svg)](https://travis-ci.org/chainer/chainer)\n[![coveralls](https://img.shields.io/coveralls/chainer/chainer.svg)](https://coveralls.io/github/chainer/chainer)\n[![Read the Docs](https://readthedocs.org/projects/chainer/badge/?version=stable)](https://docs.chainer.org/en/stable/?badge=stable)\n[![Optuna](https://img.shields.io/badge/Optuna-integrated-blue)](https://optuna.org)\n\n[**Website**](https://chainer.org/)\n| [**Docs**](https://docs.chainer.org/en/stable/)\n| [**Install Guide**](https://docs.chainer.org/en/stable/install.html)\n| **Tutorials** ([ja](https://tutorials.chainer.org/ja/))\n| **Examples** ([Official](examples), [External](https://github.com/chainer-community/awesome-chainer))\n| [**Concepts**](https://docs.chainer.org/en/stable/guides/)\n| [**ChainerX**](#chainerx)\n\n**Forum** ([en](https://groups.google.com/forum/#!forum/chainer), [ja](https://groups.google.com/forum/#!forum/chainer-jp))\n| **Slack invitation** ([en](https://bit.ly/go-chainer-slack), [ja](https://bit.ly/go-chainer-jp-slack))\n| **Twitter** ([en](https://twitter.com/CuPy_Team), [ja](https://twitter.com/ChainerJP))\n\n*Chainer* is a Python-based deep learning framework aiming at flexibility.\nIt provides automatic differentiation APIs based on the **define-by-run** approach (a.k.a. dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks.\nIt also supports CUDA/cuDNN using [CuPy](https://github.com/cupy/cupy) for high performance training and inference.\nFor more details about Chainer, see the documents and resources listed above and join the community in Forum, Slack, and Twitter.\n\n## Installation\n\n*For more details, see the [installation guide](https://docs.chainer.org/en/stable/install.html).*\n\nTo install Chainer, use `pip`.\n\n```sh\n$ pip install chainer\n```\n\nTo enable CUDA support, [CuPy](https://github.com/cupy/cupy) is required.\nRefer to the [CuPy installation guide](https://docs-cupy.chainer.org/en/stable/install.html).\n\n\n## Docker image\n\nWe are providing the official Docker image.\nThis image supports [nvidia-docker](https://github.com/NVIDIA/nvidia-docker).\nLogin to the environment with the following command, and run the Python interpreter to use Chainer with CUDA and cuDNN support.\n\n```\n$ nvidia-docker run -it chainer/chainer /bin/bash\n```\n\n\n## Contribution\n\nSee the [contribution guide](https://docs.chainer.org/en/stable/contribution.html).\n\n\n## ChainerX\n\nSee the [ChainerX documentation](https://docs.chainer.org/en/stable/chainerx/index.html).\n\n\n## License\n\nMIT License (see `LICENSE` file).\n\n\n## More information\n\n- [Release notes](https://github.com/chainer/chainer/releases)\n\n## References\n\nTokui, Seiya, et al. \"Chainer: A Deep Learning Framework for Accelerating the Research Cycle.\" *Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \u0026 Data Mining*. ACM, 2019.\n[URL](https://dl.acm.org/citation.cfm?id=3330756) [BibTex](chainer2019_bibtex.txt)\n\nTokui, S., Oono, K., Hido, S. and Clayton, J.,\nChainer: a Next-Generation Open Source Framework for Deep Learning,\n*Proceedings of Workshop on Machine Learning Systems(LearningSys) in\nThe Twenty-ninth Annual Conference on Neural Information Processing Systems (NIPS)*, (2015)\n[URL](http://learningsys.org/papers/LearningSys_2015_paper_33.pdf), [BibTex](chainer_bibtex.txt)\n\nAkiba, T., Fukuda, K. and Suzuki, S.,\nChainerMN: Scalable Distributed Deep Learning Framework,\n*Proceedings of Workshop on ML Systems in\nThe Thirty-first Annual Conference on Neural Information Processing Systems (NIPS)*, (2017)\n[URL](http://learningsys.org/nips17/assets/papers/paper_25.pdf), [BibTex](chainermn_bibtex.txt)\n","funding_links":[],"categories":["Python","机器学习框架","Deep Learning Framework","其他_机器学习与深度学习","Uncategorized"],"sub_categories":["High-Level DL APIs","General-Purpose Machine Learning","Uncategorized"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchainer%2Fchainer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchainer%2Fchainer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchainer%2Fchainer/lists"}