8 Commits (ade1ba5fe3782cdb15bd1ff0379f1daaa0f9350b)

Author	SHA1	Message	Date
Ross Wightman	67e759f710	Adding support to EfficientNet / MobileNetV3 to for different attention layers in .se position	5 years ago
Ross Wightman	f902bcd54c	Layer refactoring continues, ResNet downsample rewrite for proper dilation in 3x3 and avg_pool cases ... * select_conv2d -> create_conv2d * added create_attn to create attention module from string/bool/module * factor padding helpers into own file, use in both conv2d_same and avg_pool2d_same * add some more test eca resnet variants * minor tweaks, naming, comments, consistency	5 years ago
rwightman	1f4498f217	Add ResNet deep tiered stem and model weights for seresnext26t_32x4d and seresnext26d_32x4d	5 years ago
Ross Wightman	5a0a8de7e3	ResNet updates: ... * remove redundant GluonResNet model/blocks and use the code in ResNet for Gluon weights * change SEModules back to using AdaptiveAvgPool instead of mean, PyTorch issue long fixed	5 years ago
Ross Wightman	b8762cc67d	Model updates. Add my best ResNet50 weights top-1=78.47. Add some other torchvision weights. ... * Remove some models that don't exist as pretrained an likely never will (se)resnext152 * Add some torchvision weights as tv_ for models that I have added better weights for * Add wide resnet recently added to torchvision along with resnext101-32x8d * Add functionality to model registry to allow filtering on pretrained weight presence	6 years ago
Ross Wightman	171c0b88b6	Add model registry and model listing fns, refactor model_factory/create_model fn	6 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	6 years ago
Ross Wightman	aa4354f466	Big re-org, working towards making pip/module as 'timm'	6 years ago