ggguoguo

robustness

Corruption and Perturbation Robustness (ICLR 2019)

awesome-equivariant-network

Paper list for equivariant neural network

e2cnn

E(2)-Equivariant CNNs Library for Pytorch

geometric-algebra-transformer

gconv_experiments

Experiments with Group Equivariant Convolutional Networks

pytorch-gconv-experiments

Experiments with Group Equivariant Convolutions in PyTorch

lie-transformer-pytorch

Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch

emvn

Demo source code for the paper "Equivariant Multi-View Networks".

vehicle-distance-estimation

Vehicle object detection & distance estimation using thermal imaging.

EquiSym

(CVPR 2022) Official PyTorch implementation of "Reflection and Rotation Detection via Equivariant Learning."

E2CNNRadGal

Code repository for the paper: Fanaroff-Riley classification of radio galaxies using group-equivariant convolutional neural networks, 2021, Scaife & Porter

swn_gcn

SWN-GCN: Graph-based Rotation Equivariant Network (BMVC 2021)

partial_gcnn

Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"

G-CNN

Pytorch Implementation of Group-equivariant Convolutional Networks

SepGroupPy

Original code for "Exploiting Learned Symmetries in Group Equivariant Convolutions"

PyTorch-Group-Equivariant-CNN

This repository provides PyTorch implementations for Group Equivariant CNN (G-CNN)

Group-Equivariant-Convolutional-Networks

A reproduction of the results found in the paper on Group Equivariant Convolutional Networks by Cohen & Welling (2016)

CNN_invar_rot

Equivariant-CNNs-Tutorial

This is a tutorial for Group Equivariant Convolution and Steerable CNNs

EquivariantSelfAttention

An implementation of Equivariant e2 convolutional kernals into a convolutional self attention network, applied to radio astronomy data.

SE_SSCNN

Scale Equivariant Scale Steerable CNN using Group Convolutions

rot-equivariant-cnn-oral-cancer

Code used in the paper: K. Bengtsson Bernander, J. Lindblad, R. Strand, I. Nyström. Replacing data augmentation with rotation-equivariant CNNs in image-based classification of oral cancer. In Proceedings of the 25th Iberoamerican Congress on Pattern Recognition (CIARP), 2021.

Group-Equivariant-Networks

Showing the performance of Group Convolution Neural Networks.

Attentive-Group-Equivariant-Convolutional-Networks

Reproduction of the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020.

ge-cnn

Implementation of an experiment of the paper "Group Equivariant Convolutional Networks"

GrouPy_PyTorch_experiments

Experiments with Group Equivariant Convolutional Networks

DLAI_project

In this project, I aim to replicate the methodology and experiments presented in the paper "Group Equivariant Convolutional Networks" by Cohen and Welling and extend it to new applications, particularly focusing on evaluating its effectiveness in enhancing robustness against adversarial attacks.

GroupEquivariantCNN

Project for the Geometric Data Analysis course

Binary-Classification--Equivariant-Neural-Network

sicnn-experiments

Experiment main page for testing Scale-Invariant CNN architectures. Explores approaches utilizing both conventional CNNs, and Group-CNNs which utilize group theory principles to create equivariant convolutional layers via transformations of the input.