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  2. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, ...

  3. Hugging Face - Wikipedia

    en.wikipedia.org/wiki/Hugging_Face

    It is compatible with the PyTorch, TensorFlow and JAX deep learning libraries and includes implementations of notable models like BERT and GPT-2. [17] The library was originally called "pytorch-pretrained-bert" [ 18 ] which was then renamed to "pytorch-transformers" and finally "transformers."

  4. 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.

  5. Meta AI - Wikipedia

    en.wikipedia.org/wiki/Meta_AI

    FAIR released Torch deep-learning modules as well as PyTorch in 2017, an open-source machine learning framework, [3] which was subsequently used in several deep learning technologies, such as Tesla's autopilot [13] and Uber's Pyro. [14] Also in 2017, FAIR discontinued a research project once AI bots developed a language that was unintelligible ...

  6. 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.

  7. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    It is designed to follow the structure and workflow of NumPy as closely as possible and works with TensorFlow as well as other frameworks such as PyTorch. The primary functions of JAX are: [71] grad: automatic differentiation; jit: compilation; vmap: auto-vectorization; pmap: SPMD programming

  8. Ilya Sutskever - Wikipedia

    en.wikipedia.org/wiki/Ilya_Sutskever

    Ilya Sutskever FRS (born 8 December 1986) is an Israeli-Canadian computer scientist who specializes in machine learning. [6] Sutskever has made several major contributions to the field of deep learning.

  9. Sam Altman - Wikipedia

    en.wikipedia.org/wiki/Sam_Altman

    Altman was born on April 22, 1985, in Chicago, Illinois, [8] [9] into a Jewish family, [10] and grew up in St. Louis, Missouri.His mother is a dermatologist, and his father was a real estate broker.