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Achievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: StarstruckAchievement: QuickdrawAchievement: YOLO

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  1. pyerrors Public

    Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.

    Python 47 18

  2. HIPS/autograd Public

    Efficiently computes derivatives of NumPy code.

    Python 7.3k 919

  3. paboyle/Grid Public

    Data parallel C++ mathematical object library

    C++ 162 116

  4. aportelli/Hadrons Public

    Grid-based workflow management system for lattice field theory simulations

    C++ 24 34

82 contributions in the last year

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Activity overview

Contributed to fjosw/pyerrors, HIPS/autograd, NVIDIA/TensorRT-LLM and 2 other repositories
Loading A graph representing fjosw's contributions from July 14, 2024 to July 19, 2025. The contributions are 37% code review, 34% commits, 27% pull requests, 2% issues. 37% Code review 2% Issues 27% Pull requests 34% Commits

Contribution activity

July 2025

Reviewed 5 pull requests in 1 repository

Created an issue in fjosw/pyerrors that received 1 comment

[Bug][Numpy] Test fails for sinc overloading

Our test for applying sinc to an Obs is failing with numpy 2.3. I tracked this down to this line which was changed to deal with underflows but does…

1 comment
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