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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 32.2k 3k

  2. jax-triton Public

    jax-triton contains integrations between JAX and OpenAI Triton

    Python 392 46

  3. ml_dtypes Public

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

    C++ 262 38

Repositories

Showing 10 of 13 repositories
  • jax Public

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

    Python 32,227 Apache-2.0 3,017 1,486 (5 issues need help) 495 Updated May 15, 2025
  • jax-tpu-embedding Public
    Python 16 Apache-2.0 3 0 18 Updated May 15, 2025
  • oryx Public

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

    Python 258 Apache-2.0 11 16 (1 issue needs help) 2 Updated May 13, 2025
  • jax-llm-examples Public
    Python 109 Apache-2.0 14 1 1 Updated May 13, 2025
  • ml_dtypes Public

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

    C++ 262 Apache-2.0 38 23 7 Updated May 12, 2025
  • coix Public

    Inference Combinators in JAX

    Jupyter Notebook 48 Apache-2.0 3 9 2 Updated May 7, 2025
  • jax-ai-stack Public
    Python 168 Apache-2.0 25 4 10 Updated May 7, 2025
  • jax-triton Public

    jax-triton contains integrations between JAX and OpenAI Triton

    Python 392 Apache-2.0 46 8 18 Updated May 2, 2025
  • bayeux Public

    State of the art inference for your bayesian models.

    Python 214 Apache-2.0 13 7 1 Updated Apr 30, 2025
  • scaling-book Public

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

    HTML 270 MIT 43 0 1 Updated Apr 24, 2025
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