Alternatives and similar repositories for g_selfatt:

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

• ISosnovik / disco
  Code for "DISCO: accurate Discrete Scale Convolutions"
  ☆16Updated 2 years ago
• QUVA-Lab / e2cnn_experiments
  Experiment for General E(2)-Equivariant Steerable CNNs
  ☆28Updated 3 years ago
• merlresearch / partial_gcnn
  Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"
  ☆10Updated 2 years ago
• lucidrains / lie-transformer-pytorch
  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
  ☆88Updated 3 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆70Updated 2 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆35Updated 3 months ago
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆67Updated 4 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆42Updated 3 years ago
• jinxu06 / gsubsampling
  Reference implementation for "Group Equivariant Subsampling"
  ☆16Updated 3 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆72Updated last year
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• samuelepapa / fit-a-nef
  🚀 A powerful library for efficient training of Neural Fields at scale.
  ☆28Updated last year
• YannDubs / Invariant-Self-Supervised-Learning
  Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"
  ☆40Updated 2 years ago
• maxxxzdn / implicit-steerable-kernels
  Official repository of Implicit Neural Convolutional Kernels for Steerable CNNs, Zhdanov et al.
  ☆28Updated 10 months ago
• SCAN-NRAD / e3nn_Unet
  ☆27Updated 5 months ago
• stanford-futuredata / equivariant-transformers
  Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…
  ☆89Updated 5 years ago
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆41Updated last year
• LituRout / OptimalTransportModeling
  The repository contains reproducible PyTorch source code of our paper Generative Modeling with Optimal Transport Maps, ICLR 2022.
  ☆57Updated 2 years ago
• willGuimont / learnable_fourier_positional_encoding
  Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding
  ☆45Updated 4 months ago
• KingJamesSong / PDETraversal
  ICML23 "Latent Traversals in Generative Models as Potential Flows"
  ☆26Updated last year
• ngruver / lie-deriv
  ☆37Updated 2 years ago
• dwromero / att_gconvs
  Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2…
  ☆50Updated 4 years ago
• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated 2 years ago
• didriknielsen / argmax_flows
  Code for paper "Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions"
  ☆85Updated 3 years ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆67Updated 6 months ago
• ejnnr / steerable_pdos
  Fork of the E2CNN library that adds support for equivariant partial differential operators
  ☆17Updated 2 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆40Updated 2 years ago
• tkasarla / max-separation-as-inductive-bias
  Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704
  ☆28Updated last year
• fwilliams / scalable-pytorch-sinkhorn
  ☆145Updated 2 years ago