Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
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Apr 12, 2021 - Python
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equivariance
Here are 88 public repositories matching this topic...
Script to generate STL of spherical harmonics
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Jan 31, 2025 - Python
Steerable convolutions
cnn neural-networks convolution representation group-theory steerable-filters irreducible-representations equivariance symmetry-preservation
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Aug 11, 2025 - Julia
A PyTorch port of EMLP JAX library (Finzi et al. 2021)
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Feb 25, 2025 - Python
Compute Lyapunov exponents and Covariant-Lyapunov-Vectors of an RNN update trajectory
pytorch lstm rnn dynamical-systems svd jacobian stability qr-decomposition lyapunov model-complexity equivariance lyapunov-exponents lyapunov-vectors covariant-lyapunov-vectors rnn-dynamics oseledets-vectors model-dynamics cocycle
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May 19, 2024 - Python
Experiments with Group Equivariant Convolutional Networks
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Oct 9, 2022 - Python
A convolution-equivariant deep-learning approach to segmentation of histopathology data
deep-learning pytorch medical-imaging ocelot segmentation unet histopathology equivariance equivariant-neural-networks
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May 19, 2025 - Jupyter Notebook
Lorentz-equivariant Transformer based on Lorentz Local Canonicalization (Spinner et al. 2025)
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Oct 13, 2025 - Python
Randomization Tests for Conditional Group Symmetry
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Aug 20, 2025 - Julia
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
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Jul 21, 2025 - Python
Official code for NeurIPS 2024 paper "A Canonicalization Perspective on Invariant and Equivariant Learning".
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Oct 26, 2024 - Python
Interactive exploration of equivariant neural networks on homogeneous spaces, with a focus on the sphere S² as SO(3)/SO(2). From Lecture 8 of the Lie groups course with Quantum Formalism
deep-learning sphere scientific-computing lie-groups computational-photography 3d cortical-surfaces 360-photo weather-forecasting equivariance cosmological-inference omnidirectional-images equivariant-representations homogeneous-spaces
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Nov 13, 2025 - Jupyter Notebook
Code for "Effect of equivariance on training dynamics"
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Jan 10, 2025 - Python
This repository is the official accompaniment to A General Framework for Robust G-Invariance in G-Equivariant Networks (submitted, NeurIPS 2023)
group-theory bispectrum geometric-deep-learning invariance equivariance equivariant-networks triple-correlation
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May 19, 2023
The Transformational Measures (TM) library allows neural network researchers to evaluate the invariance and equivariance of their models with respect to a set of transformations. Support for Pytorch (current) and Tensorflow/Keras (coming).
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Oct 24, 2025 - Python
Implementation of Group-Convolutions as Keras layers.
computer-vision deep-learning keras convolutional-neural-networks geometric-deep-learning equivariance
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May 26, 2025 - Jupyter Notebook
AdS-GNN - a Conformally Equivariant Graph Neural Network
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Mar 17, 2025 - Python
Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images
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Dec 5, 2022 - Python
Exploring the design surface of ACE for crystal deep learning
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Jul 14, 2025 - HTML
Official code for NeurIPS 2024 paper "A Canonicalization Perspective on Invariant and Equivariant Learning".
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Oct 29, 2024 - Python
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