Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
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Updated
Jun 5, 2024 - Python
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
Continuous regular group convolutions for Pytorch
Code for "Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training"
On the forward invariance of Neural ODEs: performance guarantees for policy learning
Official PyTorch Implementation of "A General Framework for Robust G-Invariance in G-Equivariant Networks," 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).
Identifying invariant elements of Neural Networks to image transformations
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