177 Commits (ff94ffce613fc5cbe263ef585aafe5d4aee95a7c)

Author	SHA1	Message	Date
Ross Wightman	0ea53cecc3	Merge branch 'master' into densenet_update_and_more	5 years ago
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.	5 years ago
Ross Wightman	afb6bd0669	Add backward and default_cfg tests and fix a few issues found. Fix #153	5 years ago
Ross Wightman	50658b9a67	Add RegNet models and weights	5 years ago
Ross Wightman	7df83258c9	Merge branch 'master' into densenet_update_and_more	5 years ago
Ross Wightman	1904ed8fec	Improve dropblock impl, add fast variant, and better AMP speed, inplace, batchwise... few ResNeSt cleanups	5 years ago
Ross Wightman	17270c69b9	Remove annoying InceptionV3 dependency on scipy and insanely slow trunc_norm init. Bring InceptionV3 code into this codebase and use upcoming torch trunch_norm_ init.	5 years ago
Ross Wightman	c4ca016656	Merge pull request #145 from rwightman/resnest ... ResNeSt	5 years ago
Ross Wightman	208e7912f7	Missed one of the abalation model entrypoints, update README	5 years ago
Ross Wightman	9cc289f18c	Exclude EfficientNet-L2 models from test	5 years ago
Ross Wightman	2f884a0ce5	Add resnest14, resnest26, and two of the abalation grouped resnest50 models	5 years ago
Ross Wightman	f4cdc2ac31	Add ResNeSt models	5 years ago
Ross Wightman	780860d140	Add norm_act factory method, move JIT of norm layers to factory	5 years ago
Ross Wightman	14edacdf9a	DenseNet converted to support ABN (norm + act) modules. Experimenting with EvoNorm, IABN	5 years ago
Ross Wightman	022ed001f3	Update DenseNet to latest in Torchvision (torchscript compat, checkpointing, proper init). Start adding ehanced configurability, stem options...	5 years ago
Vyacheslav Shults	a7ebe09029	Replace all None by nn.Identity() in all models reset_classifier when False-values num_classes is given. ... Make small code refactoring	5 years ago
Vyacheslav Shults	f0eb021620	Replace all None by nn.Identity() in HRNet modules	5 years ago
Ross Wightman	8d8677e03b	Fix #139. Broken SKResNets after BlurPool addition, as a plus, SKResNets support AA now too.	5 years ago
AFLALO, Jonathan Isaac	9c15d57505	added efficientnet pruned weights	5 years ago
Ross Wightman	ea300709f0	Fix model create fn not passing num_classes through. Fix #135	5 years ago
Ross Wightman	2c438c4e0d	Merge branch 'master' of github.com:rwightman/pytorch-models	5 years ago
Ross Wightman	2681a8d618	Final blurpool2d cleanup and add resnetblur50 weights, match tresnet Downsample arg order to BlurPool2d for interop	5 years ago
Ross Wightman	9590f301a9	Merge branch 'blur' of https://github.com/VRandme/pytorch-image-models into VRandme-blur	5 years ago
Ross Wightman	a5220ad3aa	Merge pull request #125 from Separius/patch-1 ... fix typo in eca	5 years ago
Ross Wightman	0834fbc01c	Move pruned model adapt strings to separate txt files. A few minor formatting alignment tweaks.	5 years ago
Ross Wightman	ba793f5c1c	Merge branch 'adding_ECA_resnet' of https://github.com/yoniaflalo/pytorch-image-models into yoniaflalo-adding_ECA_resnet	5 years ago
AFLALO, Jonathan Isaac	07f19dd699	added eca resnet	5 years ago
Ross Wightman	be7c784d21	Small TResNet simplification, just use SelectAdaptivePool, don't notice any perf difference	5 years ago
Ross Wightman	e3a98171b2	Remove some CRLF that made it into TResNet merge	5 years ago
Ross Wightman	0004f37d25	Some TResNet cleanup. ... * allow use of global pool arg, test-time-pooling * clean checkpoints to just contain state dict, add 448 res checkpoints * support DataParallel via lazy filter creation for JIT Downsample * some minor formatting (mostly alignment) preferences	5 years ago
Sepehr Sameni	20290b5b56	fix typo in eca	5 years ago
Ross Wightman	ebf82b84ac	Merge pull request #122 from mrT23/master ... TResNet models	5 years ago
Alexey Chernov	bdb165a8a4	Merge changes in feature extraction interface to MobileNetV3 ... Experimental feature extraction interface seems to be changed a little bit with the most up to date version apparently found in EfficientNet class. Here these changes are added to MobileNetV3 class to make it support it and work again, too.	5 years ago
talrid	8a63c1add8	finalizing	5 years ago
talrid	6209146738	TResNet models	5 years ago
Ross Wightman	1a8f5900ab	Update EfficientNet feature extraction for EfficientDet. Add needed MaxPoolSame as well.	5 years ago
Chris Ha	06a50a94a8	Fix minor typos in create_attn.py and resnet.py ... 'eca'->'ceca' and doest not-> does not	5 years ago
Ross Wightman	1a9ab07307	One too many changes at a time, fix missing C	5 years ago
Ross Wightman	f17b42bc33	Blur filter no longer a buffer	5 years ago
Ross Wightman	6cdeca24a3	Some cleanup and fixes for initial BlurPool impl. Still some testing and tweaks to go...	5 years ago
Chris Ha	acd1b6cccd	Implement Functional Blur on resnet.py ... 1. add ResNet argument blur='' 2. implement blur for maxpool and strided convs in downsampling blocks	5 years ago
Chris Ha	ce3d82b58b	Update blurpool.py ... clean up code for PR	5 years ago
Chris Ha	3a287a6e76	Create blurpool.py ... Initial implementation of blur layer. currently tests as correct against Downsample of original github	5 years ago
Ross Wightman	c99a5abed4	Merge pull request #115 from rwightman/mobilenetv2-experiment ... MobileNet-V2 experiments	5 years ago
Ross Wightman	e34074b4da	Add final weights for MobileNet-V2 experiments	5 years ago
Ross Wightman	a6a5565de7	Fiddling...	5 years ago
Ross Wightman	5a16c533ff	Add better resnext50_32x4d weights trained by andravin	5 years ago
Ross Wightman	bc998cad91	Experimenting with some MobileNetV2 variations to compare against EfficientNet-Lite	5 years ago
Ross Wightman	3406e582cf	Add EfficientNet-Lite results, update README	5 years ago
Ross Wightman	bd05258f7b	EfficientNet-Lite model added w/ converted checkpoints, validation in progress...	5 years ago