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Authors
Philipp Holl (0000-0001-9246-5195), Nils Thuerey (0000-0001-6647-8910)
Citation
Holl et al., (2024). Φ-ML: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy. Journal of Open Source Software, 9(95), 6171, https://doi.org/10.21105/joss.06171
@article{Holl2024,
doi = {10.21105/joss.06171},
url = {https://doi.org/10.21105/joss.06171},
year = {2024},
publisher = {The Open Journal},
volume = {9},
number = {95},
pages = {6171},
author = {Philipp Holl and Nils Thuerey},
title = {Φ-ML: Intuitive Scientific Computing with Dimension Types for Jax, PyTorch, TensorFlow & NumPy},
journal = {Journal of Open Source Software}
}
Tags
Machine Learning Jax TensorFlow PyTorch NumPy Differentiable simulations Sparse linear systems Preconditioners
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This work is licensed under a Creative Commons Attribution 4.0 International License.
