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dionhaefner

174 karma · joined February 1, 2018

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Fast, GPU-native differentiable physics and beyond with Tesseract

docs.pasteurlabs.ai·1 pts·dionhaefner·
1

Tesseract Core: Universal components for differentiable scientific computing

github.com·2 pts·dionhaefner·
0

Differentiable Fortran with LFortran and Enzyme

docs.pasteurlabs.ai·57 pts·dionhaefner·
17

Parametric Shape Optimization of Rocket Fins with Ansys SpaceClaim and PyAnsys

si-tesseract.discourse.group·3 pts·dionhaefner·
1

Parametric shape optimization with differentiable FEM simulation

docs.pasteurlabs.ai·18 pts·dionhaefner·
6

Show HN: Tesseract Core – Autodiff-native, self-documenting software components

github.com·15 pts·dionhaefner·
0

Supercharged high-resolution ocean simulation with Jax

dionhaefner.github.io·90 pts·dionhaefner·
48

Bayesian histograms for rare event classification

dionhaefner.github.io·74 pts·dionhaefner·
6

Learning to Play Yahtzee with Advantage Actor-Critic (A2C)

dionhaefner.github.io·2 pts·dionhaefner·
0

Show HN: Auto-updating personal README via GitHub Actions

github.com·2 pts·dionhaefner·
0

Tensorflow vs. JAX vs. Numba vs. Pytorch: HPC in Python

github.com·2 pts·dionhaefner·
0

Show HN: Terracotta, a light-weight XYZ tile server in Python

github.com·7 pts·dionhaefner·
3

Show HN: Veros, a high-performance ocean simulator in pure Python

github.com·41 pts·dionhaefner·
9