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In the current implementation of the SP, the logic for checking whether global inhibition optimization should be used is sprinkled around in various places. Refactor it into one place.
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It would be great for F.grid_sample() to support high order derivatives. This is particularly useful for training setups that utilize F.grid_sample() for spatial transformations inside the network and…
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The implementation of CCMR through ptlflow takes up significantly more GPU memory than what is stated in the SOTA paper.
For 160x120 images, I'm requiring more than 24GB of VRAM for training which …
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Full import was so fast.. then I fixed #721 and now is *crazy* slow again - needs additional optimization or I wil go insane :(
### idea 1:
In `create_address_records_for_council()`, create a lis…
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(animatediff) root@ops:/data/hbx/txt2vid/AnimateDiff-MotionDirector# CUDA_LAUNCH_BLOCKING=1 python train.py --config configs/training/motion_director/my_video.yaml
{'image_finetune': False, 'output_…
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- [x] Dataset
- [ ] Basic visualization (follow #7 )
- [ ] Literature
- [x] #8
- [x] @Tanvig Add the other paper for which you found code here
- [ ] Implementing the (2+1)D model (used i…
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I want to ask you some questions. counld you tell me how to achieve “spatial simulated annealing(SSA)”algorithm? I want to programmatically achieve ssa optimization of MKV for multiple goals. I hope y…
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I'm trying to create a function that extracts the necessary information directly from adata files
```
def annData_converter(
sc_adata, st_adata, sc_annotation="ann_level_3_transferred_label…
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The UC rolling horizon problem probably needs every hour of the year which right now implies a skip_snapshots=False. But in the pre market simulation we might want to skip snapshots. And what do we do…
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Following discussions with @FHoltorf over Slack, I am opening an issue (feature request) here.
The scope of this FR address the following high level problems:
- How would one solve a high dimen…