atomicarchitects / equiformer_v3
EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers
Why this job: works in the areas we cover, but does not say which job it does
What it does
This repository contains the official PyTorch implementation of the work "EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers". We provide the code for training on the OC20 S2EF-2M, MPtrj, OMat24, and sAlex datasets and for evaluation on Matbench Discovery.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 6 months ago
- Stars
- 130
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 92% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 33% closed
- 4 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 92%
- Jupyter Notebook 7%
- Shell 1%
- Ada <1%
Topics
- catalyst-design
- deep-learning
- drug-discovery
- e3nn
- equiformer
- equivariant-graph-neural-network
- equivariant-neural-networks
- force-field
- geometric-deep-learning
- machine-learning
- machine-learning-interatomic-potential
- material-discovery
Project record
- JobOther AI tools
- StatusListed
- Commits10
- Forks22
- Watching1
- Stars in 28 days+4
- CreatedApr 6, 2026
- First seen by usNov 7, 2026
- CheckedNov 8, 2026