Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
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Updated
Apr 12, 2021 - Python
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
Non-parametric hypothesis tests for identifying distributional group symmetries from data
Compute Lyapunov exponents and Covariant-Lyapunov-Vectors of an RNN update trajectory
Steerable convolutions
Original code for "Exploiting Learned Symmetries in Group Equivariant Convolutions"
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).
Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images
Implementation of VectorNeuron-Transformer paper
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
Code for "Effect of equivariance on training dynamics"
[GRaM at ICML'24] The Price of Freedom: Exploring Tradeoffs between Expressivity and Computational Efficiency in Equivariant Tensor Products
Official source code for "Latent Field Discovery in Interacting Dynamical Systems with Neural Fields". In NeurIPS 2023.
ImageNet1k-pretrained SE(2) Equivariant Vision Models
Official repository for Color Equivariant Convolutional Networks.
Implementation of Group-Convolutions as Keras layers.
Experiments with Group Equivariant Convolutional Networks
A List of Papers on Theoretical Foundations of Graph Neural Networks
Authors' implementation of the paper "Equivariant Networks for Pixelized Spheres" published at ICML 2021.
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