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[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
e3nn
pytorch
force-fields
deep-learning
ai-for-science
drug-discovery
catalyst-design
machine-learning
materials-science
molecular-dynamics
computational-physics
graph-neural-networks
interatomic-potentials
computational-chemistry
geometric-deep-learning
equivariant-neural-networks
equivariant-graph-neural-network
Created
2023-06-21
17 commits to main branch, last one 15 days ago
[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Created
2023-02-28
8 commits to master branch, last one 15 days ago
Tools for exploiting Morphological Symmetries in robotics
Created
2022-01-12
89 commits to main branch, last one 5 months ago
Library to make any existing neural network architecture equivariant
Created
2023-12-26
295 commits to main branch, last one 9 months ago
Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
Created
2023-05-28
170 commits to main branch, last one 19 days ago