20 Commits (de5fa791c623eaa08760672b51e605781342195f)

Author	SHA1	Message	Date
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	3 years ago
Ross Wightman	d584e7f617	Support for huggingface hub via create_model and default_cfgs. ... * improve consistency of model creation helper fns * add comments to some of the model helpers * support passing external default_cfgs so they can be sourced from hub	4 years ago
Ross Wightman	b1f1a54de9	More uniform treatment of classifiers across all models, reduce code duplication.	4 years ago
Ross Wightman	3b9004bef9	Lots of changes to model creation helpers, close to finalizing feature extraction / interfaces	4 years ago
Ross Wightman	d23a2697d0	Working on feature extraction, interfaces refined, a number of models working, some in progress.	4 years ago
Ross Wightman	a7e8cadd15	Remove pointless densenet configs, add an iabn version of 264 as it makes more sense to try someday...	5 years ago
Ross Wightman	e78daf586a	better densenet121 and densenetblur121d weights	5 years ago
Ross Wightman	eb7653614f	Monster commit, activation refactor, VoVNet, norm_act improvements, more ... * refactor activations into basic PyTorch, jit scripted, and memory efficient custom auto * implement hard-mish, better grad for hard-swish * add initial VovNet V1/V2 impl, fix #151 * VovNet and DenseNet first models to use NormAct layers (support BatchNormAct2d, EvoNorm, InplaceIABN) * Wrap IABN for any models that use it * make more models torchscript compatible (DPN, PNasNet, Res2Net, SelecSLS) and add tests	5 years ago
Ross Wightman	6441e9cc1b	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
Ross Wightman	780860d140	Add norm_act factory method, move JIT of norm layers to factory	5 years ago
Ross Wightman	14edacdf9a	DenseNet converted to support ABN (norm + act) modules. Experimenting with EvoNorm, IABN	5 years ago
Ross Wightman	022ed001f3	Update DenseNet to latest in Torchvision (torchscript compat, checkpointing, proper init). Start adding ehanced configurability, stem options...	5 years ago
Vyacheslav Shults	a7ebe09029	Replace all None by nn.Identity() in all models reset_classifier when False-values num_classes is given. ... Make small code refactoring	5 years ago
Ross Wightman	13746a33fc	Big move, layer modules and fn to timm/models/layers	5 years ago
Ross Wightman	3bef524f9c	Finish with HRNet, weights and models updated. Improve consistency in model classifier/global pool treatment.	5 years ago
Ross Wightman	949b7a81c4	Fix typo in Densenet default resolutions	5 years ago
Ross Wightman	171c0b88b6	Add model registry and model listing fns, refactor model_factory/create_model fn	5 years ago
Ross Wightman	6cc214bd7a	Consistency in model entrypoints ... * move pretrained entrypoint arg to first pos to be closer to torchvision/hub * change DPN weight URLS to my github location	5 years ago
Ross Wightman	6fc886acaf	Remove all prints, change most to logging calls, tweak alignment of batch logs, improve setup.py	5 years ago
Ross Wightman	aa4354f466	Big re-org, working towards making pip/module as 'timm'	5 years ago