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@jax-ml

jax-ml

Pushing back the limits on numerical computing.

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  1. jax Public

    Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

    Python 32.1k 3k

  2. jax-triton Public

    jax-triton contains integrations between JAX and OpenAI Triton

    Python 391 45

  3. ml_dtypes Public

    A stand-alone implementation of several NumPy dtype extensions used in machine learning.

    C++ 259 37

Repositories

Showing 10 of 13 repositories
  • jax Public

    Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

    Python 32,078 Apache-2.0 2,999 1,487 (5 issues need help) 482 Updated Apr 29, 2025
  • jax-tpu-embedding Public
    Python 17 Apache-2.0 3 0 11 Updated Apr 29, 2025
  • ml_dtypes Public

    A stand-alone implementation of several NumPy dtype extensions used in machine learning.

    C++ 259 Apache-2.0 37 22 8 Updated Apr 28, 2025
  • jax-ai-stack Public
    Python 160 Apache-2.0 24 4 9 Updated Apr 28, 2025
  • jax-llm-examples Public
    Python 103 Apache-2.0 13 1 1 Updated Apr 25, 2025
  • oryx Public

    Oryx is a library for probabilistic programming and deep learning built on top of Jax.

    Python 256 Apache-2.0 11 16 (1 issue needs help) 2 Updated Apr 25, 2025
  • scaling-book Public

    Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs

    HTML 254 MIT 40 0 1 Updated Apr 24, 2025
  • bayeux Public

    State of the art inference for your bayesian models.

    Python 211 Apache-2.0 12 7 1 Updated Apr 12, 2025
  • jax-triton Public

    jax-triton contains integrations between JAX and OpenAI Triton

    Python 391 Apache-2.0 45 8 18 Updated Apr 10, 2025
  • coix Public

    Inference Combinators in JAX

    Jupyter Notebook 47 Apache-2.0 2 9 0 Updated Oct 24, 2024
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