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pytorch-image-models/timm
Ross Wightman ba9c1108a1
Add a BCE loss impl that converts dense targets to sparse /w smoothing as an alternate to CE w/ smoothing. For training experiments.
3 years ago
..
data Add `mmax` config key to auto_augment for increasing upper bound of RandAugment magnitude beyond 10. Make AugMix uniform sampling default not override config setting. 3 years ago
loss Add a BCE loss impl that converts dense targets to sparse /w smoothing as an alternate to CE w/ smoothing. For training experiments. 3 years ago
models Update HaloAttn comment 3 years ago
optim Add lamb/lars to optim init imports, remove stray comment 3 years ago
scheduler LR scheduler update: 3 years ago
utils Tweak accuracy topk safety. Fix #807 3 years ago
__init__.py Add default_cfg options for min_input_size / fixed_input_size, queries in model registry, and use for testing self-attn models 4 years ago
version.py Add efficientnetv2_rw_t defs w/ weights, and gc variant, as well as gcresnet26ts for experiments. Version 0.4.13 3 years ago