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A pytorch library that implements differentiable and learnable robot models, which allows users to learn parameters of analytical robot models, and/or propagate gradients through analytical robot computations such as forward kinematics.
pip install differentiable-robot-model
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.6>=0.9.9>=1.0.3>=0.0.3>=3.5.4>=0.7.1differentiable-robot-model publishes 1 wheel and 1 source archive for version 0.2.3. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 11 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .