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*Extracted from a Stable Diffusion oriented guide, but the efficiency of the optimizer applies equally to different networks and architectures.*
There are two types: adaptative and non-adaptative. …
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https://paperswithcode.com/paper/adabelief-optimizer-adapting-stepsizes-by-the
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There is push back on the use of chat-gpt in an education setting, though in the business environment, organisations that do not use AI as a tool are at a disadvantage. I would encourage and endorse t…
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When using --alpha_mask with images with the background removed using `rembg`. On commit 0d96e10b3e66d5c6c7096fbeb7626c5be2e98809
```
Traceback (most recent call last):
File "/mnt/900/builds/…
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Data augmentation:
- [ ] Random Resized Crop
- [x] Horizontal Flip
- [ ] Random Augment (see [code](https://github.com/tensorflow/tpu/blob/master/models/official/efficientnet/autoaugment.py#L672)…
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I get the following warning when using ranger with pytorch 1.6.0
```
/path/Ranger-Deep-Learning-Optimizer/ranger/ranger.py:138: UserWarning: This overload of addcmul_ is deprecated:
addcmul…
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We need tests to make sure our implementation gives the same results as NYs version.
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Hi,
Thanks for the excellent code base.
can i get the feature trained with resnet152?
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Hi! I see that test is currently not available for instance segmentation. Maybe you can provide some ideas how to make inference on instance segmentation?