atomicarchitects equiformer_v2 issues - Githubissues

atomicarchitects / equiformer_v2

[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

https://arxiv.org/abs/2306.12059

MIT License

218 stars 27 forks source link

issues

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Performance on OC20 S2EF 2M

#20 TommyDzh closed 1 week ago
1
Question about Output Head

#19 feyhong1112 closed 1 month ago
1
Inquiry About rescale_factor in SO3.py

#18 QuantumLab-ZY opened 3 months ago
1
Question about the edge_rot_mat

#17 HeegerGao opened 3 months ago
2
Minor fix

#16 chaitjo opened 3 months ago
0
Question on eSCN

#15 liangzhixin-202169 opened 3 months ago
5
Can equiformer predict force using energy gradients?

#14 YutackPark closed 3 months ago
1
Using Equiformer for Encoding Protein 3D Structure

#13 mahdip72 closed 4 months ago
1
Large performance gap in MD17/22 dataset

#12 TommyDzh closed 1 week ago
4
Training logs of QM9 dataset for EquiformerV2

#11 fmocking opened 7 months ago
4
Incorporating vector node features

#10 patriksimurka closed 2 months ago
1
e3nn tensors compatibility issue

#9 liyy2 opened 8 months ago
3
Can this model be used for molecule generation?

#8 Atomu2014 opened 11 months ago
1
How to use the v2 to train IS2RE datasets?

#7 mumu-1010 opened 1 year ago
1
Speed compared to `TorchMD-Net`

#6 shenoynikhil opened 1 year ago
1
Small equivariant example

#5 DeNeutoy opened 1 year ago
7
Multi-node multi-gpu training

#4 gxglxy opened 1 year ago
1
some questions

#3 mlfffinder opened 1 year ago
2
How to train on a customied dataset?

#2 xiehuanyi opened 1 year ago
1
Upload models to the Hugging Face Hub

#1 osanseviero opened 1 year ago
4