Comments (2)
Hi,
I've added a comment in README.md. To run Fold3D, you need to install the latest version of torchdrug from source. Sorry about the inconvenience! We'll update the latest version to conda and pip soon.
from gearnet.
Ahh!! That makes sense - I thought it might be a version issue, but I had the latest version from conda so I was not sure. Thanks for getting back to me so quickly!!
from gearnet.
Related Issues (20)
- Edge_list set to [0,0,0] HOT 2
- The pre-trained GearNet-Edge model for Fold Classification HOT 5
- atom view HOT 1
- Non-deterministic embeddings HOT 2
- confusion on epochs HOT 3
- A dataset not found when I run "python script/pretrain.py -c config/pretrain/mc_gearnet_edge.yaml --gpus [0]" HOT 5
- Solution when alpha carbon coordinate is missing HOT 1
- RuntimeError: addmm: Argument #3 (dense), for training ESM_GearNet on EC
- Pre-training on different datasets HOT 1
- Pre-trained weight for ESM-GearNet HOT 4
- secondary structure evaluation HOT 2
- Node classification tasks HOT 3
- Custom dataset. Data preprocessing HOT 1
- Asking about implementation of series connection of PLM & GNN in the FusionNetwork. HOT 2
- Passing CIF files directly into GearNet? HOT 2
- Inference on PDB file by conversion into torchdrug.data.PackedProtein or TorchDrug.data.Protein HOT 4
- TypeError: metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases HOT 2
- What is input (Tensor) – input node representations for GearNet HOT 1
- Extract the structure embeddings HOT 1
- RuntimeError: shape '[31, 147]' is invalid for input of size 651 in extracting embbeding from pdb files HOT 6
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from gearnet.