Computes representation matrices for Lie groups
-
Updated
Aug 30, 2018 - Python
Computes representation matrices for Lie groups
Python bindings for Sophus Lie Algebra C++ Library
Algorithm I made accompanying my undergraduate thesis.
Estimation of Neural Network Dimension using Algebraic Topology and Lie Theory.
Implementation of banana shape distribution paper
Pytorch implementation of Stable Vector Fields on Lie Groups through Diffeomorphism
Python code for a polyhedral set-valued observer with an application to nonlinear systems on a Lie group.
Torch implementation of Marc Finzi's Equivariant MLP
Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
Tensorflow implementation of preconditioned stochastic gradient descent
Rigid transform using Lie groups and Dual Quaternions, written in CasADi!
Pure static Lie groups in Numpy, Jax, and C++
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
jax library for E3 Equivariant Neural Networks
[T-RO] Python implementation of PRobabilistically-Informed Motion Primitives (PRIMP)
Rigid transforms + Lie groups in JAX
A state estimation package for Lie groups!
Add a description, image, and links to the lie-groups topic page so that developers can more easily learn about it.
To associate your repository with the lie-groups topic, visit your repo's landing page and select "manage topics."