Torch implementation of Marc Finzi's Equivariant MLP
-
Updated
Dec 7, 2023 - Python
Torch implementation of Marc Finzi's Equivariant MLP
Official Implementation of "Towards Self-Supervised Gaze Estimation"
TC (MICCAI 2024) official code
Implementation of paper: Equivariant Learning for Out-of-Distribution Cold-start Recommendation. (backbone model CLCRec) (MM'23)
An implementation of the Atiyah-Bott formula for the moduli space of genus 0 stable maps.
E(3)-Equivariant Mesh Neural Networks (AISTATS 2024)
Multimodal Pretraining for Unsupervised Protein Representation Learning
Implementation of "Denoise Pretraining on Non-equilibrium Molecular Conformations for Accurate and Transferable Neural Potentials" in PyTorch.
Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks
Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
"Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning" by Mamshad Nayeem Rizve, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah (CVPR 2021)
Learning to design protein-protein interactions with enhanced generalization (ICLR24)
[NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
Training neural network potentials
Add a description, image, and links to the equivariant-representations topic page so that developers can more easily learn about it.
To associate your repository with the equivariant-representations topic, visit your repo's landing page and select "manage topics."