lucidrains se3-transformer-pytorch issues

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.

MIT License

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trainnin pointcloud data

#19 xins981 opened 1 year ago
0
Backup Data

#18 danielajisafe opened 1 year ago
0
CUDA out of memory

#17 PengCheng-NUDT opened 2 years ago
2
small bug

#16 MattMcPartlon closed 3 years ago
5
denoise.py bugfix

#15 javierbq closed 3 years ago
0
SE3Transformer constructor hangs

#14 mpdprot opened 3 years ago
1
allow one to set their own path to cache directory with environmental…

#13 lucidrains closed 3 years ago
0
vector gating

#12 lucidrains closed 3 years ago
0
Linear layer

#11 abdalazizrashid opened 3 years ago
1
INTERNAL ASSERT FAILED

#10 denjots closed 3 years ago
4
Whether SE3 needs pre-training

#9 zyk19981118 opened 3 years ago
2
faster loop

#8 hypnopump closed 3 years ago
1
Question about continuous edge features

#7 MattMcPartlon closed 3 years ago
1
How to populate input variable length data

#6 zyk19981118 closed 3 years ago
8
question about non scalar output

#5 Chen-Cai-OSU closed 3 years ago
3
Reversible flag odd results

#4 denjots closed 3 years ago
3
Breaking equivariance

#3 brennanaba closed 3 years ago
18
CPU/CUDA masking error

#2 denjots closed 3 years ago
8
multiple molecules cases

#1 thegodone opened 3 years ago
2