Alternatives and similar repositories for LieNeurons

Users that are interested in LieNeurons are comparing it to the libraries listed below

• brentyi / jaxls
  Sparse nonlinear least squares in JAX
  ☆263Updated this week
• brentyi / jaxlie
  Rigid transforms + Lie groups for JAX
  ☆316Updated 8 months ago
• martius-lab / hitchhiking-rotations
  Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024
  ☆259Updated last month
• nash169 / manifold-gp
  Repository containing the code for Implicit Manifold Gaussian Process.
  ☆16Updated last year
• ebekkers / ponita
  Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.
  ☆88Updated last year
• QUVA-Lab / escnn
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆496Updated last year
• Qualcomm-AI-research / geometric-algebra-transformer
  ☆216Updated 11 months ago
• stanford-iprl-lab / torchfilter
  Bayesian filters in PyTorch
  ☆164Updated 2 years ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆61Updated 8 months ago
• yklcs / jaxsplat
  3D Gaussian Splatting in JAX
  ☆69Updated last year
• oxcsml / constrained-diffusion
  ☆23Updated 2 years ago
• decargroup / pymlg
  Pure static Lie groups in Numpy, Pytorch, Jax, and C++
  ☆40Updated 4 months ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆284Updated last month
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆54Updated 4 years ago
• ml-jku / GINNs-Geometry-informed-Neural-Networks
  ☆181Updated last month
• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆52Updated 8 months ago
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆259Updated 2 years ago
• seungyeon-k / SMF-public
  [2022 ICML] A Statistical Manifold Framework for Point Cloud Data
  ☆27Updated 3 years ago
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆36Updated 4 years ago
• david-knigge / enf-min-jax
  A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).
  ☆25Updated 2 months ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆282Updated last year
• rdyro / torch2jax
  Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.
  ☆58Updated 5 months ago
• nmboffi / jax-interpolants
  Definitive implementation of the stochastic interpolant framework for generative modeling in jax.
  ☆40Updated 6 months ago
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆68Updated last year
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆90Updated last year
• danielkelshaw / riemax
  Riemannian geometry in JAX
  ☆16Updated 8 months ago
• mfinzi / LieConv
  ☆274Updated 2 years ago
• nurlanov-zh / so3_log_map
  The analysis and implementation of SO3 log map, and its jacobians. The special focus on edge cases (angle close to 0 or \pi).
  ☆30Updated 2 years ago
• UM-ARM-Lab / pytorch_volumetric
  Volumetric structures such as voxels and SDFs implemented in pytorch
  ☆183Updated 3 months ago
• brentyi / dfgo
  Differentiable Factor Graph Optimization @ IROS 2021
  ☆94Updated 2 years ago