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Object detection models from torchvision not working. If you try to prune pretrained object detection models from [torchvision](https://pytorch.org/vision/stable/models.html#object-detection) you will…
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I'm using the dataset from roboflow. Can you help me?
!CUDA_VISIBLE_DEVICES=0 python prune_distill_step1.py --traindata_path "/kaggle/working/Crop-Fields-LOD-13-14-15-4/train/_annotations.coco.jso…
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With pruning off, incomplete paths will be saved. Does it make sense to try some link prediction to jump these gaps, say after supporting edges are completed? There are numerous link prediction algor…
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Hi, jomavera
Thank you very much for the code, but I have some questions. In some textbooks on branch pricing algorithms, it seems that the nodes are stored in a tree structure and pruned using upp…
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Adding data squashing as a preprocessing method in the pipeline is also worth adding (probably useful).
It is already implemented here: https://github.com/firefly-cpp/arm-preprocessing
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### Context
Configuration for NNCF algorithms can be defined in JSON format. For instance, [config.json].(https://github.com/openvinotoolkit/nncf/blob/develop/examples/torch/classification/configs/sp…
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Following a conversation with @rob-knight @gregcaporaso @antgonza and @cuttlefishh, we came up with a preliminary list of algorithms that would be fantastic to include. Education and optimized version…
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In cases where we do multiple repetitions or increasingly difficult ones, it would be nice to use the optuna pruning, to improve the time needed for optimization
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**Is your feature request related to a problem? Please describe.**
I am very interested in this project, you guys did a great job. And I wonder if there is a `roadmap` provided?
For instance:
- Is …
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First off, I'm enjoying this repo, and you have already solved a big chunk of what my team and I are in process of doing so I'm excited about contributing.
I've been looking for a process to connec…