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  2. Comparison of deep learning software - Wikipedia

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

    Format name Design goal Compatible with other formats Self-contained DNN Model Pre-processing and Post-processing Run-time configuration for tuning & calibration

  3. 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.

  4. 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 ...

  5. Robots replicate reality: High-tech pitching machine mimics ...

    www.aol.com/news/robots-replicate-reality-high...

    The Trajekt Arc pitching machine uses baseball's high-tech data to mimic the way balls break from every big league pitcher and has been approved by Major League Baseball for in-game use this year ...

  6. Pitching machines inspire a new MLB arms race - AOL

    www.aol.com/sports/wave-high-tech-pitching...

    A new wave of high-tech pitching machines can throw like any MLB ace. Some teams don’t want you to know they’re using them. Zach Crizer. June 21, 2022 at 12:18 AM. Two outs, two strikes. Tying ...

  7. Torch (machine learning) - Wikipedia

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

    Torch is an open-source machine learning library, a scientific computing framework, and a scripting language based on Lua. [3] It provides LuaJIT interfaces to deep learning algorithms implemented in C. It was created by the Idiap Research Institute at EPFL. Torch development moved in 2017 to PyTorch, a port of the library to Python. [4] [5] [6]

  8. Apache Ignite - Wikipedia

    en.wikipedia.org/wiki/Apache_Ignite

    The key idea of Apache Ignite Machine Learning toolkit is an ability to perform distributed training and inference instantly without massive data transmissions. It's based on MapReduce approach, resilient to node failures and data rebalances, allows to avoid data transfers and so that speed up preprocessing and model training.

  9. Pitching machine - Wikipedia

    en.wikipedia.org/wiki/Pitching_machine

    The arm-type pitching machine was designed by Paul Giovagnoli in 1952, for use on his driving range. Using a metal arm mounted to a large gear, this type of machine simulates the motion of an actual pitcher, throwing balls with consistent speed and direction. One- and two-wheel style machines were originally patented by Bartley N. Marty in 1916.