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⬢github Python · 104.7K ★ +650 since we first saw it · pushed 8 min ago · NOASSERTION

pytorch/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch is a Python library for tensor computation with strong GPU acceleration and dynamic neural networks built on tape-based automatic differentiation. It includes a NumPy-like tensor library, an autograd system, a neural network module, multiprocessing utilities, and data loaders. It can be used as a GPU-accelerated NumPy replacement or as a deep learning research platform with flexible, Python-first APIs.

Why now: not clear from the sources

Who it is for: Machine learning researchers, deep learning engineers, and scientists who want GPU-accelerated tensor math and flexible neural network development in Python.

deep-learningmachine-learninggpupythonneural-networkstensors

autograddeep-learninggpumachine-learningneural-networknumpypythontensor

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