Alternatives and similar repositories for e2cnn_experiments:

Users that are interested in e2cnn_experiments are comparing it to the libraries listed below

• 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
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆69Updated 7 months ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆108Updated last year
• adambielski / pytorch-gconv-experiments
  Experiments with Group Equivariant Convolutions in PyTorch
  ☆113Updated 2 years ago
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆69Updated 4 years ago
• luost26 / Equivariant-OrientedMP
  Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)
  ☆29Updated 2 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 3 years ago
• mfinzi / LieConv
  ☆265Updated last year
• adambielski / GrouPy
  Group Equivariant Convolutional Neural Networks
  ☆100Updated 7 years ago
• marvin-eisenberger / implicit-sinkhorn
  ☆70Updated 2 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 3 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆148Updated 2 years ago
• danielegrattarola / GINR
  Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).
  ☆70Updated 2 years ago
• ejnnr / steerable_pdos
  Fork of the E2CNN library that adds support for equivariant partial differential operators
  ☆17Updated 2 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
• pimdh / relie
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Updated 2 years ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆24Updated last year
• 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
• lucidrains / lie-transformer-pytorch
  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
  ☆90Updated 4 years ago
• WeiWangTrento / Robust-Differentiable-SVD
  ☆78Updated 3 years ago
• rw435 / wreathProdNet
  ☆12Updated 4 years ago
• jinxu06 / gsubsampling
  Reference implementation for "Group Equivariant Subsampling"
  ☆16Updated 3 years ago
• martius-lab / beta-nll
  beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
  ☆41Updated 2 years ago
• ebekkers / ponita
  Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.
  ☆81Updated 9 months ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆35Updated 4 months ago
• AndreevP / FRCL
  Functional Regularisation for Continual Learning with Gaussian Processes
  ☆14Updated 4 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆88Updated last year
• necludov / jam
  Implementation of Action Matching
  ☆38Updated last year
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆44Updated last year