jaxlie is a library for matrix Lie groups (SO3, SE3, etc.) implemented in JAX, supporting automatic differentiation and GPU acceleration. Current version 1.5.0, requires Python ≥3.8 and JAX. Release cadence is irregular (last release Jul 2024).
pip install jaxlieNo compatibility data collected yet for this library.
Verified import paths — ran on the pinned version, not inferred.
Basic usage: sample a random SO3, create an SE3 from rotation+translation, and multiply.
Change imports to `from jaxlie import SO3, SE3`.
Use `SE3.wxyz_xyz` with caution; prefer `SE3.as_quaternion()` and `SE3.translation()` if available.
Split keys properly: `key, subkey = jr.split(key)` before each sample.
Use `from jaxlie import SE3` instead.
Upgrade to jaxlie >=1.0 or use `T.as_matrix()` (v1.0+) or `T.hom_matrix()` (older).
Use SE3.identity() or SE3.from_rotation_and_translation(rot, trans) to create SE3 elements.