There are 3 repositories under quaternion topic.
calibration for Imu and show gesture
Add built-in support for quaternions to numpy
⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
Create, manipulate and convert representations of position and orientation in 2D or 3D using Python
3D mathematical functions using NumPy
ImGui GIZMO widget - 3D object manipulator / orientator
Provide conversion between the major representations of 3D rotation and visualize the orientation of a rigid body
Create, manipulate and convert representations of position and orientation in 2D or 3D using Python
Quadcopter Simulation and Control. Dynamics generated with PyDy.
A compact realtime embedded Attitude and Heading Reference System (AHRS) using Recursive Least Squares (RLS) for magnetometer calibration and EKF/UKF for sensor fusion on Arduino platform
A JavaScript Quaternion library
A quaternion based sensor fusion algorithm that fuses accelerometers and gyroscopes and optionally magnetometers
An overview of different quaternion implementations and their chosen order: x-y-z-w or w-x-y-z?
Linear algebra library with vector swizzling, intersection tests and useful functions for games and graphics dev.
C++ template metaprogram driven tensor math library
Homogeneous transformation matrices and quaternions
A header-only, pure-C math library for 2D/3D graphics (matrix, vector, quaternion) Seeks to be close to C89/C90 compliant for portability. It's like a BLAS, but easier to use.
Movement data collection using MPU6050 and Raspberry Pi. And obtaining the position and velocity with Python and Matplotlib, with visualization and data processing.
Apache Commons Numbers
Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.
A toolbox to represent 3D rotations of coordinate frames for Julia language.
An implementation of quaternions for and written in tensorflow. Fully differentiable.
Linear algebra library for graphics and gamedev.
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)