Alternatives and similar repositories for LieNeurons

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

• brentyi / jaxlie
  Rigid transforms + Lie groups for JAX
  ☆279Updated 2 months ago
• brentyi / jaxls
  Sparse nonlinear least squares in JAX
  ☆215Updated last month
• martius-lab / hitchhiking-rotations
  Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024
  ☆251Updated last week
• nash169 / manifold-gp
  Repository containing the code for Implicit Manifold Gaussian Process.
  ☆15Updated 11 months ago
• ebekkers / ponita
  Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.
  ☆85Updated last year
• Qualcomm-AI-research / geometric-algebra-transformer
  ☆198Updated 5 months ago
• QUVA-Lab / escnn
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆448Updated 8 months ago
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆244Updated 2 years ago
• yklcs / jaxsplat
  3D Gaussian Splatting in JAX
  ☆62Updated last year
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆56Updated last month
• oxcsml / constrained-diffusion
  ☆21Updated last year
• emilemathieu / escnn_jax
  Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
  ☆30Updated 2 years ago
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆83Updated last year
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆52Updated 3 years ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆72Updated 11 months ago
• seungyeon-k / SMF-public
  [2022 ICML] A Statistical Manifold Framework for Point Cloud Data
  ☆25Updated 2 years ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆261Updated this week
• stanford-iprl-lab / torchfilter
  Bayesian filters in PyTorch
  ☆154Updated 2 years ago
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆239Updated last year
• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆34Updated 3 years ago
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆66Updated last year
• david-knigge / enf-min-jax
  A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).
  ☆25Updated 5 months ago
• ghliu / DeepGSB
  Deep Generalized Schrödinger Bridge, NeurIPS 2022 Oral
  ☆48Updated 2 years ago
• UM-ARM-Lab / pytorch_volumetric
  Volumetric structures such as voxels and SDFs implemented in pytorch
  ☆159Updated 2 weeks ago
• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆47Updated 2 months ago
• nmboffi / jax-interpolants
  Definitive implementation of the stochastic interpolant framework for generative modeling in jax.
  ☆22Updated this week
• itsdaniele / jeometric
  Graph neural networks in JAX.
  ☆67Updated last year
• mfinzi / LieConv
  ☆270Updated 2 years ago
• google-deepmind / threednel
  ☆17Updated last year
• NoemieJaquier / MaternGaBO
  This repository contains the code for the paper "Geometry-aware Bayesian Optimization in Roboticsusing Riemannian Matérn Kernels" (CoRL'2…
  ☆19Updated last year