Alternatives and similar repositories for On-Learning-Sets-of-Symmetric-Elements

Users that are interested in On-Learning-Sets-of-Symmetric-Elements are comparing it to the libraries listed below

• merlresearch / partial_gcnn
  Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"
  ☆10Updated 2 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 3 years ago
• mshakerinava / AutoEquiv
  Group Equivariant Linear Maps
  ☆11Updated 4 years ago
• rw435 / wreathProdNet
  ☆12Updated 4 years ago
• lucidrains / lie-transformer-pytorch
  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
  ☆92Updated 4 years ago
• gnobitab / ConstrainedDiffusionBridge
  ☆13Updated 2 years ago
• jw9730 / lps
  [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch
  ☆29Updated last year
• noamroze / moser_flow
  ☆17Updated 3 years ago
• subgraph23 / homomorphism-expressivity
  [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
  ☆16Updated last year
• HyTruongSon / InvariantGraphNetworks-PyTorch
  A PyTorch implementation of The ICLR 2019 paper "Invariant and Equivariant Graph Networks" by Haggai Maron, Heli Ben-Hamu, Nadav Shamir a…
  ☆17Updated 3 years ago
• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated 2 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆56Updated 3 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆63Updated 3 years ago
• jliu / graph-normalizing-flows
  Code for Graph Normalizing Flows.
  ☆62Updated 5 years ago
• wgrathwohl / VERA
  ☆63Updated last year
• energy-based-model / energy-based-model
  ☆34Updated 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
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated 2 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆71Updated 2 years ago
• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆17Updated 5 months ago
• neel-dey / equivariant-gans
  [ICLR 2021] Group Equivariant Generative Adversarial Networks.
  ☆13Updated 4 years ago
• take-koshizuka / NLSB
  ☆19Updated 4 months ago
• simpleinvariance / UniversalNetwork
  ☆16Updated 3 years ago
• CUAI / BetterSetRepresentations
  [NeurIPS 2020] Better Set Representations For Relational Reasoning (https://arxiv.org/abs/2003.04448)
  ☆30Updated 4 years ago
• omri1348 / Frame-Averaging
  ☆34Updated 3 years ago
• omri1348 / LRGA
  Low Rank Global Attention for Graph Neural Networks
  ☆12Updated 4 years ago
• ZZYSonny / PlanE
  Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…
  ☆13Updated last year
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆30Updated 2 years ago