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  • Description

    an open source deep learning platform that provides a seamless path from research prototyping to production deployment.

  • Usage

    To list all executables provided by PyTorch, run: $ biogrids-list pytorch Copy to clipboard
  • Usage Notes

    Launch pytorch by calling python.pytorch within the BioGrids environment.

  • Installation

    Use the following command to install this title with the CLI client: $ biogrids-cli install pytorch Copy to clipboard Available operating systems: Linux 64
  • Primary Citation*

    A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer. 2017. Automatic differentiation in PyTorch. 31st Conference on Neural Information Processing Systems (NIPS 2017).

    • *Full citation information available through

  • Keywords

    Machine Learning

  • Default Versions

    Linux 64:  1.6.0 (4.3 GB)

  • Other Versions

      Linux 64:

      0.4.1 (2.2 GB) , 1.7.0 (4.0 GB) , 1.8.1 (6.3 GB)
  • Developers

    Adam Paszke