There are 5 repositories under equivariance topic.
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
A Euclidean diffusion model for structure-based drug design.
DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
A library for programmatically generating equivariant layers through constraint solving
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network
A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399
Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs/2006.05259
Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021
[CVPR 2022] Official PyTorch implementation of "Official Self-Supervised Equivariant Learning for Oriented Keypoint Detection"
[ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
[NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
Code repository for the paper "Attentive Group Equivariant Convolutional Neural Networks" published at ICML 2020. https://arxiv.org/abs/2002.03830
OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.
Repo for "On Learning Symmetric Locomotion"
Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)
Implementation for NeurIPS 2023 paper "Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation"