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pytorch-image-models/timm
Ross Wightman 7be299504f
Add missing feature_info() on MobileNetV3, make hook feature output order/type consistent with bottleneck (list, decreasing fmap size)
5 years ago
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data added MultiEpochsDataLoader 5 years ago
loss Update AugMix, JSD, etc comments and references 5 years ago
models Add missing feature_info() on MobileNetV3, make hook feature output order/type consistent with bottleneck (list, decreasing fmap size) 5 years ago
optim Add 'momentum' optimizer (SGD w/o nesterov) for stable EfficientDet training defaults 5 years ago
scheduler Fix memory_efficient mode for DenseNets. Add AntiAliasing (Blur) support for DenseNets and create one test model. Add lr cycle/mul params to train args. 5 years ago
__init__.py Monster commit, activation refactor, VoVNet, norm_act improvements, more 5 years ago
utils.py Remove poorly named metrics from torch imagenet example origins. Use top1/top5 in csv output for consistency with existing validation results files, acc elsewhere. Fixes #111 5 years ago
version.py Fix #139. Broken SKResNets after BlurPool addition, as a plus, SKResNets support AA now too. 5 years ago