PyTorch

/ˈpaɪ tɔːrtʃ/ · Noun · Development

Definitions

  1. An open-source deep learning framework originally developed by Meta AI that provides tensor computation with GPU acceleration and automatic differentiation via a dynamic computation graph (eager execution by default). It is the dominant framework in ML research and increasingly in production via TorchScript and torch.compile.

    In plain English: A popular toolkit that lets developers build and train artificial intelligence models, especially ones that learn from large amounts of data.

    Example: "We ported the model from TensorFlow to PyTorch because the research team wanted eager execution for easier debugging."

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