pytorch-image-models/timm
Ross Wightman ab49d275de Significant norm update
* ConvBnAct layer renamed -> ConvNormAct and ConvNormActAa for anti-aliased
* Significant update to EfficientNet and MobileNetV3 arch to support NormAct layers and grouped conv (as alternative to depthwise)
* Update RegNet to add Z variant
* Add Pre variant of XceptionAligned that works with NormAct layers
* EvoNorm matches bits_and_tpu branch for merge
2021-12-14 13:48:30 -08:00
..
data Add commented code to increase open file limit via Python (for TFDS dataset building) 2021-11-30 17:02:27 -08:00
loss Update binary cross ent impl to use thresholding as an option (convert soft targets from mixup/cutmix to 0, 1) 2021-09-23 15:45:39 -07:00
models Significant norm update 2021-12-14 13:48:30 -08:00
optim Add lamb/lars to optim init imports, remove stray comment 2021-08-18 22:55:02 -07:00
scheduler Fix k_decay default arg != 1.0 in poly scheduler 2021-11-22 09:37:36 -08:00
utils Fix some formatting in utils/model.py 2021-10-23 20:35:36 -07:00
__init__.py Add default_cfg options for min_input_size / fixed_input_size, queries in model registry, and use for testing self-attn models 2021-04-12 11:54:22 -07:00
version.py Version bump to 0.5.0 for pending release post RSB and ATTN updates 2021-10-03 17:34:57 -07:00