jax library for E3 Equivariant Neural Networks
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Updated
Jun 24, 2024 - Python
jax library for E3 Equivariant Neural Networks
Rigid transforms + Lie groups in JAX
Tensorflow implementation of preconditioned stochastic gradient descent
A state estimation package for Lie groups!
Python bindings for Sophus Lie Algebra C++ Library
Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more)
Rigid transform using Lie groups and Dual Quaternions, written in CasADi!
Pure static Lie groups in Numpy, Jax, and C++
Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
Computes representation matrices for Lie groups
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.
Implementation of banana shape distribution paper
Torch implementation of Marc Finzi's Equivariant MLP
[T-RO] Python implementation of PRobabilistically-Informed Motion Primitives (PRIMP)
Algorithm I made accompanying my undergraduate thesis.
Official implementation of Lie Group Decompositions for Equivariant Neural Networks (ICLR 2024)
Estimation of Neural Network Dimension using Algebraic Topology and Lie Theory.
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