PyTorch
/ˈpaɪ tɔːrtʃ/ · Noun · Development
Definitions
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."