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  2. PyTorch Lightning - Wikipedia

    en.wikipedia.org/wiki/PyTorch_Lightning

    PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. [1] It is a lightweight and high-performance framework that organizes PyTorch code to decouple research from engineering, thus making deep learning experiments easier to read and reproduce.

  3. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. [ 24 ] PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo , a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and ...

  4. Torch (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Torch_(machine_learning)

    The torch package also simplifies object-oriented programming and serialization by providing various convenience functions which are used throughout its packages. The torch.class(classname, parentclass) function can be used to create object factories ().

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  6. Theano (software) - Wikipedia

    en.wikipedia.org/wiki/Theano_(software)

    Theano is an open source project [3] primarily developed by the Montreal Institute for Learning Algorithms (MILA) at the Université de Montréal. [4]The name of the software references the ancient philosopher Theano, long associated with the development of the golden mean.

  7. Lanier scores 26 to lead No. 3 Tennessee over Syracuse 96-70 ...

    www.aol.com/lanier-scores-26-lead-no-025704162.html

    Chaz Lanier scored 26 points to lead No. 3 Tennessee to a 96-70 victory over Syracuse in the SEC/ACC Challenge on Tuesday night. The Volunteers (8-0) got a double-double from Igor Milicic with 11 ...

  8. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...

  9. In rural America, heart disease is increasingly claiming ...

    www.aol.com/rural-america-heart-disease...

    Heart disease death rates in rural America are rising among younger people, increasing the rural-urban divide, according to research in the Journal of the American College of Cardiology.