1399 Commits (e6d7df40ecb9595b9e4f2f5b69f2633f81cee9ce)

 

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Author	SHA1	Message	Date
Ross Wightman	d59a756c16	Run PyCharm autoformat on selecsls and change mix cap variables and model names to all lower	5 years ago
Ross Wightman	fb3a0f4bb8	Merge pull request #65 from mehtadushy/selecsls ... Incorporate SelecSLS Models	5 years ago
Ross Wightman	0554b7942c	Update README.md	5 years ago
Ross Wightman	a4497afa21	Update sotabench.py	5 years ago
Ross Wightman	53f578e16f	Update README with B3 training details	5 years ago
Ross Wightman	19fc205a4d	Update comments on the new SE-ResNeXt26 models	5 years ago
Ross Wightman	8894a6bc08	Update sotabench.py with latest seresnext26 and efficientnet_b3 models	5 years ago
Ross Wightman	acc3ed2b8c	Add EfficientNet-B3 weights, trained from scratch with RA.	5 years ago
Dushyant Mehta	2404361f62	correct asset paths	5 years ago
Dushyant Mehta	31939311f6	Added SelecSLS models	5 years ago
rwightman	1f4498f217	Add ResNet deep tiered stem and model weights for seresnext26t_32x4d and seresnext26d_32x4d	5 years ago
Dushyant Mehta	32012a44fd	Added SelecSLS model	5 years ago
Ross Wightman	73b78459dc	Add update RandAugment MixNet-XL weights	5 years ago
Ross Wightman	3afc2a4dc0	Some cleanup/improvements to AugMix impl: ... * make 'increasing' levels for Contrast, Color, Brightness, Saturation ops * remove recursion from faster blending mix * add config striing parsing for AugMix	5 years ago
Ross Wightman	232ab7fb12	Working on an implementation of AugMix with JensenShannonDivergence loss that's compatible with my AutoAugment and RandAugment impl	5 years ago
Ross Wightman	ff8688ca3d	Merge pull request #62 from rwightman/reduce-bn ... Distribute BatchNorm stats	5 years ago
Ross Wightman	5719b493ad	Missed update dist-bn logic for EMA model	5 years ago
Ross Wightman	a435ea1327	Change reduce_bn to distribute_bn, add ability to choose between broadcast and reduce (mean). Add crop_pct arg to allow selecting validation crop while training.	5 years ago
Ross Wightman	3bff2b21dc	Add support for keeping running bn stats the same across distributed training nodes before eval/save	5 years ago
Ross Wightman	0161de0127	Switch RandoErasing back to on GPU normal sampling	5 years ago
Ross Wightman	5d7af97981	Update README.md ... Update latest training hparam/command line with correct RandAugment config string (`noise` -> `mstd`)	5 years ago
Ross Wightman	3129bdb2c1	Update README.md	5 years ago
Ross Wightman	ff421e5e09	New PyTorch trained EfficientNet-B2 weights with my RandAugment impl	5 years ago
Ross Wightman	00b93407c7	Update results-all.csv with latest models/weights	5 years ago
Ross Wightman	5259dbcbb4	Update README.md with latest changes	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	3ceeedc441	Merge pull request #53 from rwightman/condconvs_and_features ... Major model merge (EfficientNet-CondConv, EfficientNet-AdvProp, TF MobileNetV3, HRNet, more)	5 years ago
Ross Wightman	7b3c235ccc	Update sotabench with new models	5 years ago
Ross Wightman	6ca0828166	Update EfficientNet comments, MobileNetV3 non-TF create fns, fix factory arg checks, bump PyTorch version req to 1.2	5 years ago
Ross Wightman	eccbadca74	Update EfficientNet comments	5 years ago
Ross Wightman	902d32fb16	Renamed gen_efficientnet.py -> efficientnet.py	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	3b8f63084d	Clean checkpoint renames pth w/ SHA hash in a torch hub compatible way	5 years ago
Ross Wightman	a39cc43374	Bring EfficientNet and MobileNetV3 up to date with my gen-efficientnet repo ... * Split MobileNetV3 and EfficientNet model files and put builder and blocks in own files (getting too large) * Finalize CondConv EfficientNet variant * Add the AdvProp weights files and B8 EfficientNet model * Refine the feature extraction module for EfficientNet and MobileNetV3	5 years ago
Ross Wightman	ad93347548	Initial HRNet classification model commit	5 years ago
Ross Wightman	2393708650	Missed stashing of out_indices in model	5 years ago
Ross Wightman	35e8f0c5e7	Fixup a few comments, add PyTorch version aware Flatten and finish as_sequential for GenEfficientNet	5 years ago
Ross Wightman	7ac6db4543	Missed activations.py	5 years ago
Ross Wightman	506df0e3d0	Add CondConv support for EfficientNet into WIP for GenEfficientNet Feature extraction setup	5 years ago
Ross Wightman	db04677c94	Merge pull request #52 from rwightman/randaugment ... RandAugment and more	5 years ago
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	1f39d15f15	Allow float decay epochs arg for training, works out with step lr math	5 years ago
Ross Wightman	7b83e67f77	Pass drop connect arg through to EfficientNet models	5 years ago
Ross Wightman	31453b039e	Update Auto/RandAugment comments, README, more. ... * Add a weighted choice option for RandAugment * Adjust magnitude noise/std naming, config	5 years ago
Ross Wightman	4243f076f1	Adding RandAugment to AutoAugment impl, some tweaks to AA included	5 years ago
Ross Wightman	4748c6dff2	Fix non-prefetch variant of Mixup. Fixes #50	5 years ago
Ross Wightman	0d58c50fb1	Add TF RandAug weights for B5/B7 EfficientNet models.	5 years ago
Ross Wightman	62105ed4a0	Better differentiate sotabench WSL, SSL, and SWSL models via model_desc	5 years ago
Ross Wightman	c099374771	Map pretrained checkpoint to cpu to avoid issue with some pretrained checkpoints still having CUDA tensors. Fixes #42	5 years ago
Ross Wightman	b93fcf0708	Add Facebook Research Semi-Supervised and Semi-Weakly Supervised ResNet model weights.	5 years ago