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dionhaefner

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  1. Differentiable Fortran with LFortran and Enzyme (docs.pasteurlabs.ai)
    1 points 15
  2. Parametric Shape Optimization of Rocket Fins with Ansys SpaceClaim and PyAnsys (si-tesseract.discourse.group)
    3 points 1
  3. Parametric shape optimization with differentiable FEM simulation (docs.pasteurlabs.ai)
    18 points 2
  4. Show HN: Tesseract Core – Autodiff-native, self-documenting software components (github.com)

    Tesseract Core is a command line app + Python SDK that lets scientists and engineers wrap complex scientific and machine learning code into containerized, self-documenting, differentiable functions—making them easier to…

    15 points 0
  5. Supercharged high-resolution ocean simulation with Jax (dionhaefner.github.io)
    90 points 48
  6. Bayesian histograms for rare event classification (dionhaefner.github.io)
    74 points 7
  7. Learning to Play Yahtzee with Advantage Actor-Critic (A2C) (dionhaefner.github.io)
    2 points 0
  8. Show HN: Auto-updating personal README via GitHub Actions (github.com)
    2 points 0
  9. Tensorflow vs. JAX vs. Numba vs. Pytorch: HPC in Python (github.com)
    2 points 0
  10. Show HN: Terracotta, a light-weight XYZ tile server in Python (github.com)
    7 points 3
  11. Show HN: Veros, a high-performance ocean simulator in pure Python (github.com)
    41 points 9