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We welcome contributions via pull requests,\nand questions, feature requests, or bug reports via issues.\n\n### Citing AxoNN\n\nIf you are referencing AxoNN in a publication, please cite the\nfollowing [paper](https://pssg.cs.umd.edu/assets/papers/2022-05-axonn-ipdps.pdf):\n\n * Siddharth Singh, Abhinav Bhatele. AxoNN: An asynchronous, message-driven\n   parallel framework for extreme-scale deep learning In Proceedings of the\n   IEEE International Parallel \u0026 Distributed Processing Symposium (IPDPS '22).\n   IEEE Computer Society, May 2022.\n\n### License\n\nAxoNN is distributed under the terms of the Apache License (Version 2.0) with\nLLVM Exceptions.\n\nAll contributions must be made under the Apache License (Version 2.0) with\nLLVM Exceptions.\n\nSee [LICENSE](https://github.com/pssg-int/axonn/blob/develop/LICENSE) for\ndetails.\n\nSPDX-License-Identifier: Apache-2.0 WITH LLVM-exception\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxonn-ai%2Faxonn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faxonn-ai%2Faxonn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxonn-ai%2Faxonn/lists"}