Computations and statistics on manifolds with geometric structures.

Rigid transforms + Lie groups for JAX

jax library for E3 Equivariant Neural Networks

Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)

A state estimation package for Lie groups!

Rigid transform using Lie groups and Dual Quaternions, written in CasADi!

Python bindings for Sophus Lie Algebra C++ Library

Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"

Pure static Lie groups in Numpy, Pytorch, Jax, and C++

Tensorflow implementation of preconditioned stochastic gradient descent

Pytorch implementation of Stable Vector Fields on Lie Groups through Diffeomorphism

Classes and methods for Geometric Deep Learning to support Substack, LinkedIn newsletters and tutorials

Bijections & normalizing flows with JAX/NNX

[T-RO] Python implementation of PRobabilistically-Informed Motion Primitives (PRIMP)

Computes representation matrices for Lie groups

CIEL-Omega AGI with Ethical and Conscious Core: Resonant Entity (ResEnt) made out of geometry and information based on Intention Lab's Framework of Reality

Implementation of banana shape distribution paper

Official implementation of Lie Group Decompositions for Equivariant Neural Networks (ICLR 2024)

pyMatLie provides batched implementations of common Matrix Lie Groups used in Robotics.

Functions for the Lie Algebra goups SO(2), SE(2), SO(3), are SE(3) that are commonly used in robotics and computer vision.