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  2. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    Download QR code; Print/export ... PyTorch is a machine learning library based on the Torch library, [4] [5] [6] ... a Python-level compiler that makes code run up to ...

  3. Torch (machine learning) - Wikipedia

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

    Download QR code; Print/export Download as PDF; Printable version; ... Torch development moved in 2017 to PyTorch, a port of the library to Python. [4] [5] [6] torch

  4. Comparison of deep learning software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_deep...

    Download QR code; Print/export ... Python No No Yes Yes Yes Yes Caffe: Berkeley Vision and Learning Center ... PyTorch: Adam Paszke, Sam Gross, Soumith Chintala ...

  5. 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.

  6. Spyder (software) - Wikipedia

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

    It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language. Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software. [4] [5]

  7. Google JAX - Wikipedia

    en.wikipedia.org/wiki/Google_JAX

    It is designed to follow the structure and workflow of NumPy as closely as possible and works with various existing frameworks such as TensorFlow and PyTorch. [5] [6] The primary functions of JAX are: [2] grad: automatic differentiation; jit: compilation; vmap: auto-vectorization; pmap: Single program, multiple data (SPMD) programming

  8. DeepSpeed - Wikipedia

    en.wikipedia.org/wiki/DeepSpeed

    It includes the Zero Redundancy Optimizer (ZeRO) for training models with 1 trillion or more parameters. [4] Features include mixed precision training, single-GPU, multi-GPU, and multi-node training as well as custom model parallelism. The DeepSpeed source code is licensed under MIT License and available on GitHub. [5]

  9. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    [4] Designed to enable fast experimentation with deep neural networks , Keras focuses on being user-friendly, modular , and extensible . It was developed as part of the research effort of project ONEIROS (Open-ended Neuro-Electronic Intelligent Robot Operating System), [ 5 ] and its primary author and maintainer is François Chollet , a Google ...