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pytorch-image-models/timm
Ross Wightman 88129b2569
Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit.
4 years ago
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data added MultiEpochsDataLoader 4 years ago
loss Update AugMix, JSD, etc comments and references 5 years ago
models Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit. 4 years ago
optim Add 'momentum' optimizer (SGD w/o nesterov) for stable EfficientDet training defaults 4 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. 4 years ago
__init__.py Monster commit, activation refactor, VoVNet, norm_act improvements, more 4 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 4 years ago
version.py Fix #139. Broken SKResNets after BlurPool addition, as a plus, SKResNets support AA now too. 4 years ago