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Projects in Awesome Lists tagged with equivariance
A curated list of projects in awesome lists tagged with equivariance .
https://github.com/gcorso/diffdock
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
binding computational-biology diffusion-models docking equivariance machine-learning non-euclidean-geometry score-based-models
Last synced: 30 Sep 2024
https://github.com/gcorso/DiffDock
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
binding computational-biology diffusion-models docking equivariance machine-learning non-euclidean-geometry score-based-models
Last synced: 01 Aug 2024
https://github.com/QUVA-Lab/e2cnn
E(2)-Equivariant CNNs Library for Pytorch
cnns equivariance equivariant-network group-convolution pytorch
Last synced: 09 Aug 2024
https://github.com/HannesStark/EquiBind
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
drug-discovery equivariance geometry graph-neural-networks molecules protein-structure proteins
Last synced: 01 Aug 2024
https://github.com/chaitjo/geometric-gnn-dojo
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
e3nn equivariance equivariant-networks geometric-deep-learning geometric-graphs graph-isomorphism graph-neural-networks pytorch pytorch-geometric
Last synced: 02 Aug 2024
https://github.com/lucidrains/egnn-pytorch
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
artificial-intelligence deep-learning equivariance graph-neural-network
Last synced: 03 Oct 2024
https://github.com/QUVA-Lab/escnn
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
deep-learning equivariance geometric-deep-learning geometry invariant isometries pytorch rotations symmetries
Last synced: 02 Aug 2024
https://github.com/quva-lab/escnn
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
deep-learning equivariance geometric-deep-learning geometry invariant isometries pytorch rotations symmetries
Last synced: 30 Sep 2024
https://github.com/jw9730/tokengt
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
equivariance gnn graph hypergraph pytorch self-attention transformer
Last synced: 31 Jul 2024
https://github.com/lucidrains/se3-transformer-pytorch
Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
artificial-intelligence attention-mechanism deep-learning equivariance se3 transformer
Last synced: 03 Oct 2024
https://github.com/mfinzi/equivariant-MLP
A library for programmatically generating equivariant layers through constraint solving
Last synced: 31 Jul 2024
https://github.com/gcorso/torsional-diffusion
Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)
chemistry conformer-generator equivariance geometry machine-learning molecules neurips-2022 torsion-angles
Last synced: 05 Aug 2024
https://github.com/lucidrains/equiformer-pytorch
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding
artificial-intelligence attention-mechanisms deep-learning equivariance molecules protein-folding transformers
Last synced: 03 Oct 2024
https://github.com/octavian-ganea/equidock_public
EquiDock: geometric deep learning for fast rigid 3D protein-protein docking
deeplearning docking drug-discovery drugdiscovery equivariance equivariant-network equivariant-representations geometry graphneuralnetwork protein-protein-interaction proteins
Last synced: 01 Aug 2024
https://github.com/lucidrains/en-transformer
Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network
artificial-intelligence attention-mechanism deep-learning equivariance transformer
Last synced: 03 Oct 2024
https://github.com/abhi1kumar/DEVIANT
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
3d-computer-vision 3d-object-detection autonomous-driving autonomous-vehicle depth-equivariance eccv eccv-2022 eccv2022 equivariance geometric-deep-learning kitti-3d monocular-3d-detection monocular-3d-localization nuscenes object-detection one-stage-detector projective-geometry projective-manifold waymo
Last synced: 31 Jul 2024
https://github.com/chao1224/Geom3D
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
3d 3d-structures ai4science biology chemistry crystals drugs equivariance geometry group invariance material molecules physics proteins symmetry
Last synced: 03 Aug 2024
https://github.com/lucidrains/lie-transformer-pytorch
Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
artificial-intelligence attention-mechanism deep-learning equivariance se3 transformer
Last synced: 03 Oct 2024
https://github.com/dwromero/wavelet_networks
Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs/2006.05259
cnns equivariance group-convolution pytorch time-series
Last synced: 02 Aug 2024
https://github.com/lucidrains/geometric-vector-perceptron
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
artficial-intelligence biomolecule deep-learning equivariance protein-structure
Last synced: 03 Oct 2024
https://github.com/jw9730/hot
[NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
equivariance gnn graph hypergraph pytorch self-attention transformer
Last synced: 31 Jul 2024
https://github.com/mshakerinava/Equivariant-Networks-for-Pixelized-Spheres
Authors' implementation of the paper "Equivariant Networks for Pixelized Spheres" published at ICML 2021.
deep-learning equivariance icml2021 representation-learning
Last synced: 31 Jul 2024
https://github.com/ccr-cheng/InfGCN-pytorch
Official implementation of the NeurIPS 23 spotlight paper of ♾️InfGCN♾️.
electron-density equivariance equivariant-network graphon neural-operator
Last synced: 28 Aug 2024
https://github.com/facundoq/tmeasures
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).
equivariance invariance keras measure neural-networks python python3 pytorch tensorflow variance
Last synced: 28 Sep 2024