23 Commits (576d360f20c8299cfd909c86edad4afff45d3d01)

Author	SHA1	Message	Date
Ross Wightman	576d360f20	Bring in JIT version of optimized swish activation from gen_efficientnet as default (while working on feature extraction functionality here).	5 years ago
Ross Wightman	0d58c50fb1	Add TF RandAug weights for B5/B7 EfficientNet models.	5 years ago
Ross Wightman	a9eb484835	Add memory efficient Swish impl	5 years ago
Ross Wightman	73fbd97ed4	Add weights for my MixNet-XL creation, include README updates for EdgeTPU models	5 years ago
Ross Wightman	51a2375b0c	Experimenting with a custom MixNet-XL and MixNet-XXL definition	5 years ago
Ross Wightman	9ec6824bab	Finally got around to adding EdgeTPU EfficientNet variant	5 years ago
Ross Wightman	4fe2da558c	Add MixNet Small and Large PyTorch native weights (no same padding)	5 years ago
Ross Wightman	e879cf52fa	Update validation scores for new TF EfficientNet weights.	5 years ago
Ross Wightman	77e2e0c4e3	Add new auto-augmentation Tensorflow EfficientNet weights, incl B6 and B7 models. Validation scores still pending but looking good.	5 years ago
Ross Wightman	857f33015a	Add native PyTorch weights for MixNet-Medium with no SAME padding necessary. Remove unused block of code.	5 years ago
Ross Wightman	d4debe6597	Update version, results csv files, and move remaining dropbox weights to github	5 years ago
Ross Wightman	dfa9298b4e	Add MixNet (https://arxiv.org/abs/1907.09595) with pretrained weights converted from Tensorflow impl ... * refactor 'same' convolution and add helper to use MixedConv2d when needed * improve performance of 'same' padding for cases that can be handled statically * add support for extra exp, pw, and dw kernel specs with grouping support to decoder/string defs for MixNet * shuffle some args for a bit more consistency, a little less clutter overall in gen_efficientnet.py	5 years ago
Ross Wightman	d6ac5bbc48	EfficientNet and related cleanup ... * remove folded_bn support and corresponding untrainable tflite ported weights * combine bn args into dict * add inplace support to activations and use where possible for reduced mem on large models	5 years ago
Ross Wightman	9b0070edc9	Add two comments back, fix typo	5 years ago
Ross Wightman	c3287aafb3	Slight improvement in EfficientNet-B2 native PyTorch weights	5 years ago
Ross Wightman	c6b32cbe73	A number of tweaks to arguments, epoch handling, config ... * reorganize train args * allow resolve_data_config to be used with dict args, not just arparse * stop incrementing epoch before save, more consistent naming vs csv, etc * update resume and start epoch handling to match above * stop auto-incrementing epoch in scheduler	5 years ago
Ross Wightman	9d653b68a2	Make drop_connect rate scaling match official impl. Fixes #14	5 years ago
Ross Wightman	13c19e213d	Add native PyTorch EfficientNet B1 and B2 weights. Not quite where I want them, but hitting the brick wall and moving on to other projects...	5 years ago
Ross Wightman	a0275cfa2f	Fix arg positions in two entrypoint aliases	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