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10 Commits (cb06c7a910cb9b1078679bc67c76afcbb7453d3c)

Author SHA1 Message Date
Ross Wightman 9811e229f7 Fix regression in models with 1001 class pretrained weights. Improve batchnorm arg and BatchNormAct layer handling in several models.
4 years ago
Ross Wightman b1f1a54de9 More uniform treatment of classifiers across all models, reduce code duplication.
4 years ago
Ross Wightman 9eba134d79 More models supporting feature extraction, xception, gluon_xception, inception_v3, inception_v4, pnasnet, nasnet, dla. Fix DLA unused projection params.
4 years ago
Vyacheslav Shults a7ebe09029 Replace all None by nn.Identity() in all models reset_classifier when False-values num_classes is given.
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 171c0b88b6 Add model registry and model listing fns, refactor model_factory/create_model fn
5 years ago
Ross Wightman 87b92c528e Some pretrianed URL changes
5 years ago
Ross Wightman 6cc214bd7a Consistency in model entrypoints
5 years ago
Ross Wightman aa4354f466 Big re-org, working towards making pip/module as 'timm'
5 years ago