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A fast NumPy autograd framework with neural-network layers, optimizers, and interactive model visualization
pip install minitorchbr
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.7.0>=1.24.0>=0.3.0minitorchbr publishes 20 wheels and 1 source archive for version 0.4.2. Wheel platform tags: macosx_10_13_x86_64, macosx_10_15_x86_64, macosx_10_9_x86_64, macosx_11_0_arm64, manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64, win_amd64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .