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Author:
The tesseract-torch team @ Pasteur Labs
Summary:
Tesseract Torch wraps Tesseracts as differentiable PyTorch operations, with full support for reverse-mode and forward-mode automatic differentiation.
Latest version:
0.1.0
Required dependencies:
tesseract-core
|
torch
Optional dependencies:
furo
|
myst-nb
|
pre-commit
|
pytest
|
pytest-benchmark
|
pytest-cov
|
requests
|
sphinx
|
sphinx-autodoc-typehints
|
sphinx-copybutton
|
sphinx-design
|
sphinxext-opengraph
|
tesseract-core
|
tesseract-torch
|
typeguard
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