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  2. Comparison of deep learning software - Wikipedia

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

    Software Creator Initial release Software license [a] Open source Platform Written in Interface OpenMP support OpenCL support CUDA support ROCm support [1] Automatic differentiation [2] Has pretrained models Recurrent nets Convolutional nets RBM/DBNs Parallel execution (multi node) Actively developed BigDL: Jason Dai (Intel) 2016 Apache 2.0 ...

  3. List of artificial intelligence projects - Wikipedia

    en.wikipedia.org/wiki/List_of_artificial...

    SHRDLU, an early natural language processing computer program developed by Terry Winograd at MIT from 1968 to 1970. [64] SYSTRAN, a machine translation technology by the company of the same name, used by Yahoo!, AltaVista and Google, among others. [65] DBRX, 136 billion parameter open sourced large language model developed by Mosaic ML and ...

  4. 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]

  5. Neural network software - Wikipedia

    en.wikipedia.org/wiki/Neural_network_software

    This ever-growing list includes the following neural network products: R: produces PMML for neural nets and other machine learning models via the package pmml. SAS Enterprise Miner: produces PMML for several mining models, including neural networks, linear and logistic regression, decision trees, and other data mining models.

  6. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with ...

  7. Open-source artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Open-source_artificial...

    Current open-source models underperform closed-source models on most tasks, but open-source models are improving faster to close the gap. [86] Open-source development of models has been deemed to have theoretical risks. Once a model is public, it cannot be rolled back or updated if serious security issues are detected. [4]

  8. List of free and open-source software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_free_and_open...

    This is a list of free and open-source software packages , computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]

  9. List of large language models - Wikipedia

    en.wikipedia.org/wiki/List_of_large_language_models

    A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.