GitHub topics: e3nn
atomicarchitects/equiformer_v2
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Language: Python - Size: 7.64 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 254 - Forks: 35

atomicarchitects/equiformer
[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Language: Python - Size: 3.95 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 226 - Forks: 43

atomicarchitects/DeNS
[TMLR 2024] Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields
Language: Python - Size: 11.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 31 - Forks: 2

Parity-LRX/Parity
Deep Learning Potential model with Symmetry Invariant and Equivariant Descriptor
Language: Python - Size: 646 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 15 - Forks: 1

chaitjo/geometric-gnn-dojo
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Language: Jupyter Notebook - Size: 4.6 MB - Last synced at: 9 months ago - Pushed at: 11 months ago - Stars: 446 - Forks: 43
