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  2. Hierarchical Data Format - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_Data_Format

    Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.

  3. Accelerated Linear Algebra - Wikipedia

    en.wikipedia.org/wiki/Accelerated_Linear_Algebra

    XLA (Accelerated Linear Algebra) is an open-source compiler for machine learning developed by the OpenXLA project. [1] XLA is designed to improve the performance of machine learning models by optimizing the computation graphs at a lower level, making it particularly useful for large-scale computations and high-performance machine learning models.

  4. Coda (document editor) - Wikipedia

    en.wikipedia.org/wiki/Coda_(document_editor)

    A screenshot of the Coda document editor (2022) Coda is a document editor that uses features from spreadsheets, presentation documents, word processor files, and apps. [ 4 ] [ 5 ] [ 6 ] Possible uses for Coda documents include using them as a wiki, database, or project management tool. [ 5 ]

  5. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    These models are compressed and optimized in order to be more efficient and have a higher performance on smaller capacity devices. [64] TensorFlow Lite uses FlatBuffers as the data serialization format for network models, eschewing the Protocol Buffers format used by standard TensorFlow models. [64]

  6. Comparison of deep learning software - Wikipedia

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

    Self-contained DNN Model Pre-processing and Post-processing Run-time configuration for tuning & calibration DNN model interconnect Common platform TensorFlow, Keras, Caffe, Torch: Algorithm training No No / Separate files in most formats No No No Yes ONNX: Algorithm training Yes No / Separate files in most formats No No No Yes

  7. Open Neural Network Exchange - Wikipedia

    en.wikipedia.org/wiki/Open_Neural_Network_Exchange

    The Open Neural Network Exchange (ONNX) [ˈɒnɪks] [2] is an open-source artificial intelligence ecosystem [3] of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector.

  8. OnlyOffice - Wikipedia

    en.wikipedia.org/wiki/OnlyOffice

    OnlyOffice (formerly TeamLab), stylized as ONLYOFFICE, is a free software office suite and ecosystem of collaborative applications. It consists of online editors for text documents, spreadsheets, presentations, forms and PDFs, and the room-based collaborative platform.

  9. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    The Open Neural Network Exchange project was created by Meta and Microsoft in September 2017 for converting models between frameworks. Caffe2 was merged into PyTorch at the end of March 2018. [ 23 ] In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux ...