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Achievement: QuickdrawAchievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: Galaxy Brainx2Achievement: Mars 2020 ContributorAchievement: Arctic Code Vault ContributorAchievement: Starstruckx2

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx4Achievement: Pair ExtraordinaireAchievement: Galaxy Brainx2Achievement: Mars 2020 ContributorAchievement: Arctic Code Vault ContributorAchievement: Starstruckx2

Organizations

@numpy @pydata @google @xarray-dev @dask @pandas-dev

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  1. pydata/xarray Public

    N-D labeled arrays and datasets in Python

    Python 3.8k 1.1k

  2. jax-ml/jax Public

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

    Python 31.8k 3k

  3. google/xarray-beam Public

    Distributed Xarray with Apache Beam

    Python 146 7

  4. google/tree-math Public

    Mathematical operations for JAX pytrees

    Python 198 8

  5. h5netcdf/h5netcdf Public

    Pythonic interface to netCDF4 via h5py

    Python 198 36

  6. google/jax-cfd Public

    Computational Fluid Dynamics in JAX

    Jupyter Notebook 811 118

430 contributions in the last year

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Activity overview

Contributed to pydata/xarray, neuralgcm/neuralgcm, neuralgcm/dinosaur and 23 other repositories
Loading A graph representing shoyer's contributions from March 31, 2024 to March 31, 2025. The contributions are 57% commits, 18% code review, 14% pull requests, 11% issues.

Contribution activity

March 2025

Created 20 commits in 2 repositories
Reviewed 8 pull requests in 3 repositories

Created an issue in jax-ml/jax that received 7 comments

Using jax.Device as a dict key for pytree transformations

jax.Device is used as a key on some dictionaries returned by JAX APIs, e.g., jax.sharding.Sharding.addressable_devices_indices_map. I would like to…

7 comments
Opened 3 other issues in 2 repositories
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