Rigid transforms + Lie groups in JAX
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Updated
Jul 17, 2024 - Python
Rigid transforms + Lie groups in JAX
jax library for E3 Equivariant Neural Networks
A state estimation package for Lie groups!
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
Python bindings for Sophus Lie Algebra C++ Library
Rigid transform using Lie groups and Dual Quaternions, written in CasADi!
Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
Tensorflow implementation of preconditioned stochastic gradient descent
Pure static Lie groups in Numpy, Jax, and C++
Pytorch implementation of Stable Vector Fields on Lie Groups through Diffeomorphism
Computes representation matrices for Lie groups
Estimation of Neural Network Dimension using Algebraic Topology and Lie Theory.
Implementation of banana shape distribution paper
[T-RO] Python implementation of PRobabilistically-Informed Motion Primitives (PRIMP)
Algorithm I made accompanying my undergraduate thesis.
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
Official implementation of Lie Group Decompositions for Equivariant Neural Networks (ICLR 2024)
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