gnu: Add python-deepxde.
* gnu/packages/machine-learning.scm (python-deepxde): New variable.
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@ -1995,6 +1995,39 @@ (define-public python-hyperopt
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discrete, and conditional dimensions.")
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(license license:bsd-3)))
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(define-public python-deepxde
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(package
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(name "python-deepxde")
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(version "1.9.2")
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(source (origin
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(method url-fetch)
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(uri (pypi-uri "DeepXDE" version))
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(sha256
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(base32
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"07bz3d7d698l0fhznw5l8p16b22d4ly7xq99vrgv48c722qr2r5b"))))
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(build-system pyproject-build-system)
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(arguments
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(list #:tests? #f ; there are no tests
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#:phases #~(modify-phases %standard-phases
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(add-before 'sanity-check 'writable-home
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;; sanity-check writes ~/.deepxde/config.json to set
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;; the default backend.
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(lambda _
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(setenv "HOME" "/tmp"))))))
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;; DeepXDE supported backends are TensorFlow (v1 and v2), PyTorch, JAX and
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;; PaddlePaddle. We test with PyTorch because we have it up to date.
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(native-inputs (list python-pytorch python-setuptools-scm))
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(propagated-inputs (list python-matplotlib python-numpy
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python-scikit-learn python-scikit-optimize
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python-scipy))
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(home-page "https://deepxde.readthedocs.io/en/latest/")
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(synopsis "Library for scientific machine learning")
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(description "DeepXDE is a library for scientific machine learning and
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physics-informed learning. It includes implementations for the PINN
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(physics-informed neural networks), DeepONet (deep operator network) and
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MFNN (multifidelity neural network) algorithms.")
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(license license:lgpl2.1+)))
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;; There have been no proper releases yet.
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(define-public kaldi
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(let ((commit "be22248e3a166d9ec52c78dac945f471e7c3a8aa")
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