Compute Lyapunov exponents and Covariant-Lyapunov-Vectors of an RNN update trajectory
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Updated
May 19, 2024 - Python
Compute Lyapunov exponents and Covariant-Lyapunov-Vectors of an RNN update trajectory
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
A PyTorch port of EMLP JAX library (Finzi et al. 2021)
Experiments with Group Equivariant Convolutional Networks
Practical Equivariances via Relational Conditional Neural Processes (Huang et al., NeurIPS 2023)
Official PyTorch Implementation of "A General Framework for Robust G-Invariance in G-Equivariant Networks," NeurIPS 2023
This repository is the official accompaniment to A General Framework for Robust G-Invariance in G-Equivariant Networks (submitted, NeurIPS 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).
Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images
Official repository for Color Equivariant Convolutional Networks.
Implementation of Group-Convolutions as Keras layers.
Non-parametric hypothesis tests for identifying distributional group symmetries from data
Original code for "Exploiting Learned Symmetries in Group Equivariant Convolutions"
Implementation of VectorNeuron-Transformer paper
Official source code for "Latent Field Discovery in Interacting Dynamical Systems with Neural Fields". In NeurIPS 2023.
E(3) equivariant graph neural network for PPI site prediction
ImageNet1k-pretrained SE(2) Equivariant Vision Models
Official implementation of the NeurIPS 23 spotlight paper of ♾️InfGCN♾️.
Tensorflow 2 / tf.keras port of keras-gcnn.
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