Super-gradients

Latest version: v3.7.1

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2.0.1

Not secure
This GitHub Release was done automatically by CircleCI

2.0.0

Not secure
Features:
- KD trainer and resnet50 recipe (81.92 % accuracy)
- Repeated augmentation sampler
- Cooldown epochs
- Beit architecture
- Lamb Optimizer
- Passing torch data loaders directly to SgModel.

Refactoring:
- Checkpoint and architecture params decoupled.

1.7.5

Not secure
- STDC architectures binary segmentation support bug fix.

1.7.4

Not secure
torchmetrics version requirement set to 0.7.3 to avoid metric names depreciation bug.

1.7.3

Not secure
This GitHub Release was done automatically by CircleCI

1.7.2

Not secure
This GitHub Release was done automatically by CircleCI

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