Alternatives and similar repositories for e2cnn_experiments

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

• fwilliams / scalable-pytorch-sinkhorn
  ☆169Updated 3 years ago
• mfinzi / LieConv
  ☆274Updated 2 years ago
• borchero / natural-posterior-network
  Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …
  ☆87Updated 2 years ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆77Updated last year
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 4 years ago
• adambielski / GrouPy
  Group Equivariant Convolutional Neural Networks
  ☆103Updated 8 years ago
• tychovdo / lila
  Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"
  ☆23Updated 3 years ago
• 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
• saleml / continuous-gfn
  ☆28Updated 2 years ago
• FrederikWarburg / LaplaceAE
  ☆33Updated 3 years ago
• marvin-eisenberger / implicit-sinkhorn
  ☆74Updated 2 years ago
• orientino / dum-components
  Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML
  ☆12Updated 2 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆52Updated 5 years ago
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆280Updated 2 years ago
• chrhenning / hypnettorch
  Package for working with hypernetworks in PyTorch.
  ☆131Updated 2 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆76Updated 2 years ago
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆72Updated 5 years ago
• adambielski / pytorch-gconv-experiments
  Experiments with Group Equivariant Convolutions in PyTorch
  ☆117Updated 3 years ago
• cambridge-mlg / DUN
  Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
  ☆78Updated 2 years ago
• AndreevP / FRCL
  Functional Regularisation for Continual Learning with Gaussian Processes
  ☆15Updated 5 years ago
• SCAN-NRAD / e3nn_Unet
  ☆31Updated last year
• loeweX / RotatingFeatures
  Code for the paper: Rotating Features for Object Discovery
  ☆53Updated last year
• luost26 / Equivariant-OrientedMP
  Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)
  ☆29Updated 3 years ago
• KingJamesSong / FastDifferentiableMatSqrt
  ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension
  ☆67Updated last year
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆110Updated this week
• anucvml / ddn
  Deep Declarative Networks
  ☆253Updated 3 months ago
• jinxu06 / gsubsampling
  Reference implementation for "Group Equivariant Subsampling"
  ☆16Updated 4 years ago
• seungyeon-k / SMF-public
  [2022 ICML] A Statistical Manifold Framework for Point Cloud Data
  ☆27Updated 3 years ago