9 Commits (ff94ffce613fc5cbe263ef585aafe5d4aee95a7c)

Author	SHA1	Message	Date
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.	4 years ago
Ross Wightman	c16f25ced2	Add MobileNetV3 Large weights, results, update README and sotabench for merge	4 years ago
Ross Wightman	27b3680d49	Revamp LR noise, move logic to scheduler base. Fixup PlateauLRScheduler and add it as an option.	4 years ago
Ross Wightman	514b0938c4	Experimenting with per-epoch learning rate noise w/ step scheduler	4 years ago
Ross Wightman	fac58f609a	Add RAdam, NovoGrad, Lookahead, and AdamW optimizers, a few ResNet tweaks and scheduler factory tweak. ... * Add some of the trendy new optimizers. Decent results but not clearly better than the standards. * Can create a None scheduler for constant LR * ResNet defaults to zero_init of last BN in residual * add resnet50d config	5 years ago
Ross Wightman	e7c8a37334	Make min-lr and cooldown-epochs cmdline args, change dash in color_jitter arg for consistency	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	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