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PyTorch is an open-sourcemachine learninglibrary.
The name PyTorch emphasizes the librarys Python-friendly nature and its roots in the Torch project.
PyTorch was originally created by the Facebook AI Research (FAIR) team in 2017.
In 2022, the administration of the PyTorch project was handed over to the neutral PyTorch Foundation.
Python integration
PyTorch is built onPython, a widely used and beginner-friendly programming language.
Furthermore, it also benefits from Pythons debugging tools.
GPU acceleration
PyTorch supportsGPUacceleration through CUDA, which isNvidias parallel computing platform.
Developers can easily use and integrate these pre-trained models into their existing PyTorch projects.
They are better at leveraging GPU capabilities for faster calculations.
Theres also the autograd module that greatly simplifies the training of neural networks through the process of backpropagation.
Dynamic Computation Graphs
Deep learning models are represented in PyTorch as Dynamic Computation Graphs (DCGs).
DCGs also simplify debugging as they allow developers to inspect the model during execution.
While they share many similarities, they differ significantly in design philosophy, usability, and ecosystem.
Khalife thinks PyTorch is preferred in the academic community due to its simplicity and flexibility.
He also believes its dynamic graph makes it easier to prototype and experiment with models.
NLP is one of the fields where PyTorch is widely used.
