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  1. Ongoing research training transformer models at scale

    Python 15.9k 3.8k

  2. A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance…

    Python 3.3k 681

  3. JAX-Toolbox

    Python 394 71

  4. Examples for Recommenders - easy to train and deploy on accelerated infrastructure.

    Python 239 59

  5. Forked from NVIDIA/dgx-spark-playbooks

    Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.

    Jupyter Notebook 1

  6. Web3 healthcare app that puts patients in control of their medical data with secure blockchain-based sharing and data management

    TypeScript 3 2