Alternatives and similar repositories for AutoEquiv

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

• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 3 years ago
• ejnnr / steerable_pdos
  Fork of the E2CNN library that adds support for equivariant partial differential operators
  ☆17Updated 3 years ago
• gallego-posada / eman
  Equivariant Mesh Attention Networks
  ☆20Updated 3 years ago
• dwromero / g_selfatt
  Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…
  ☆29Updated 4 years ago
• simpleinvariance / UniversalNetwork
  ☆16Updated 3 years ago
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆35Updated 2 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆73Updated last year
• Haggaim / On-Learning-Sets-of-Symmetric-Elements
  Pytorch implementation of The ICML 2020 paper "On Learning Sets of Symmetric Elements" by Haggai Maron, Or Litany, Gal Chechik, Ethan Fet…
  ☆10Updated 4 years ago
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆30Updated 3 years ago
• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆18Updated 9 months ago
• haguettaz / ChebLieNet
  ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
  ☆14Updated last year
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆74Updated last year
• vict0rsch / faenet
  ☆33Updated 8 months ago
• wwang2 / Coarse-Graining-Auto-encoders
  ☆40Updated 3 years ago
• lucidrains / lie-transformer-pytorch
  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
  ☆96Updated 4 years ago
• lucidrains / geometric-vector-perceptron
  Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…
  ☆75Updated 4 years ago
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆30Updated 2 years ago
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆123Updated 2 years ago
• hanjq17 / GMN
  [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
  ☆63Updated last year
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆30Updated last year
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆139Updated 3 years ago
• rw435 / wreathProdNet
  ☆12Updated 4 years ago
• plainerman / Variational-Doob
  Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
  ☆52Updated 6 months ago
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆33Updated 4 years ago
• vgsatorras / en_flows
  ☆59Updated 3 years ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated 2 years ago
• ngruver / lie-deriv
  ☆39Updated 2 years ago
• cambridge-mlg / weighted-retraining
  ☆44Updated 2 years ago
• tensorfieldnetworks / tensorfieldnetworks
  ☆160Updated 5 years ago
• microsoft / two-for-one-diffusion
  This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…
  ☆66Updated last year