640 Commits (6d2acec1bb1fa40fa8f65771e2f18c805920d4e3)

Author	SHA1	Message	Date
Ross Wightman	f225ae8e59	Update README with model results and attribution. Make scheduler factory bit more robust to arg differences, add noise to plateau lr and fix min/max.	4 years ago
Ross Wightman	39f27c1add	Almost ready to merge, vovnet typo, version bump, readme addition	4 years ago
Ross Wightman	151679c2f1	Add custom grad tests, fix cut & paste error with hard_mish ME, add a few more pytorch act fns to factory	4 years ago
Ross Wightman	6c7932fe75	Update sotabench.py, tweak VovNet cfg	4 years ago
Ross Wightman	0aca08384f	Update regnet cfg keys to match model names so registry works properly	4 years ago
Antoine Broyelle	78fa0772cc	Leverage python hierachical logger ... with this update one can tune the kind of logs generated by timm but training and inference traces are unchanged	4 years ago
Ross Wightman	13c0a6290e	Add ESE-VovNet39 weights, 79.32 top-1	4 years ago
Ross Wightman	4ddde1d3a4	Fix two regressions	4 years ago
Ross Wightman	a7e8cadd15	Remove pointless densenet configs, add an iabn version of 264 as it makes more sense to try someday...	4 years ago
Ross Wightman	e78daf586a	better densenet121 and densenetblur121d weights	4 years ago
Ross Wightman	7be299504f	Add missing feature_info() on MobileNetV3, make hook feature output order/type consistent with bottleneck (list, decreasing fmap size)	4 years ago
Ross Wightman	88129b2569	Add set_layer_config contextmgr to adjust all layer configs at once, use in create_module with new args. Remove a few old warning causing constant annotations for jit.	4 years ago
Ross Wightman	f28170df3f	Fix an an untested change, remove a debug print	4 years ago
Ross Wightman	eb7653614f	Monster commit, activation refactor, VoVNet, norm_act improvements, more ... * refactor activations into basic PyTorch, jit scripted, and memory efficient custom auto * implement hard-mish, better grad for hard-swish * add initial VovNet V1/V2 impl, fix #151 * VovNet and DenseNet first models to use NormAct layers (support BatchNormAct2d, EvoNorm, InplaceIABN) * Wrap IABN for any models that use it * make more models torchscript compatible (DPN, PNasNet, Res2Net, SelecSLS) and add tests	4 years ago
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
AFLALO, Jonathan Isaac	a7f570c9b7	added MultiEpochsDataLoader	5 years ago
Ross Wightman	8d8677e03b	Fix #139. Broken SKResNets after BlurPool addition, as a plus, SKResNets support AA now too.	5 years ago
Ross Wightman	c9b6f415ca	Bump version for Pypi release	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	1d4ac1b165	Bump version for pypi release. Fix #130	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
Ross Wightman	64fe37d008	Remove old mean/std helper, rely fully on cmd line or default_cfg now. Fixes #126	5 years ago
Ross Wightman	e6f24e5578	Add 'momentum' optimizer (SGD w/o nesterov) for stable EfficientDet training defaults	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	13cf68850b	Remove poorly named metrics from torch imagenet example origins. Use top1/top5 in csv output for consistency with existing validation results files, acc elsewhere. Fixes #111	5 years ago
Ross Wightman	56608c9070	Bump version for pypi	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
Andrew Lavin	d92cc4da54	Modified save_checkpoint to always save last checkpoint. Fixes #98.	5 years ago
Ross Wightman	56e2ac3a6d	Merge pull request #94 from rwightman/lr_noise ... Learning rate noise, MobileNetV3 weights, and activate MobileNetV3/EfficientNet weight init change	5 years ago
Ross Wightman	c16f25ced2	Add MobileNetV3 Large weights, results, update README and sotabench for merge	5 years ago
Ross Wightman	c60069c1eb	Annotate types on drop fns to avoid torchscript error	5 years ago
Ross Wightman	9fee316752	Enable fixed fanout calc in EfficientNet/MobileNetV3 weight init by default. Fix #84	5 years ago
Ross Wightman	27b3680d49	Revamp LR noise, move logic to scheduler base. Fixup PlateauLRScheduler and add it as an option.	5 years ago
Ross Wightman	cc5a11abba	version bump for PyPi update	5 years ago
Ross Wightman	514b0938c4	Experimenting with per-epoch learning rate noise w/ step scheduler	5 years ago
Ross Wightman	43225d110c	Unify drop connect vs drop path under 'drop path' name, switch all EfficientNet/MobilenetV3 refs to 'drop_path'. Update factory to handle new drop args.	5 years ago
Ross Wightman	f1d5f8a6c4	Update comments for Selective Kernel and DropBlock/Path impl, add skresnet34 weights	5 years ago
Ross Wightman	670c61b28f	Some cutmix/mixup cleanup/fixes	5 years ago
Ross Wightman	b3cb5f3275	Working on CutMix impl as per #8, integrating with Mixup, currently experimenting...	5 years ago
Ross Wightman	569419b38d	Tweak some comments, add SKNet models with weights to sotabench, remove an unused branch	5 years ago
Ross Wightman	53c47479c4	Batch validation batch size adjustment, tweak L2 crop pct	5 years ago
Ross Wightman	08553e16b3	Merge branch 'master' into attention	5 years ago
Ross Wightman	fa38f24967	Update SK network configs, add weights for skresnet8 and skresnext50	5 years ago
Ross Wightman	f098fda2ca	Add map_location='cpu' to ModelEma resume, should improve #72	5 years ago
Ross Wightman	ba15ca47e8	Add ported EfficientNet-L2, B0-B7 NoisyStudent weights from TF TPU	5 years ago
Ross Wightman	5e6dbbaf30	Add CBAM for experimentation	5 years ago
Ross Wightman	d725991870	Remove debug print from ECA module	5 years ago
Ross Wightman	2a7d256fd5	Re-enable mem-efficient/jit activations after torchscript tests	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
Ross Wightman	a99ec4e7d1	A bunch more layer reorg, splitting many layers into own files. Improve torchscript compatibility.	5 years ago
Ross Wightman	13746a33fc	Big move, layer modules and fn to timm/models/layers	5 years ago
Ross Wightman	f54612f648	Merge branch 'select_kernel' into attention	5 years ago
Ross Wightman	4defbbbaa8	Fix module name mistake, start layers sub-package	5 years ago
Ross Wightman	7011cd0902	A little bit of ECA cleanup	5 years ago
Ross Wightman	46471df7b2	Merge pull request #82 from VRandme/eca ... ECA-Net Efficient Channel Attention	5 years ago
Ross Wightman	d0eb59ef46	Remove unused default_init for EfficientNets, experimenting with fanout calc for #84	5 years ago
Chris Ha	e6a762346a	Implement Adaptive Kernel selection ... When channel size is given, calculate adaptive kernel size according to original paper. Otherwise use the given kernel size(k_size), which defaults to 3	5 years ago
Ross Wightman	13e8da2b46	SelectKernel split_input works best when input channels split like grouped conv, but output is full width. Disable zero_init for SK nets, seems a bad combo.	5 years ago
Chris Ha	6db087a1ff	Merge remote-tracking branch 'upstream/master' into eca	5 years ago
Chris Ha	904c618040	Update EcaModule.py ... Make pylint happy (commas, unused imports, missed imports)	5 years ago
Chris Ha	db91ba053b	EcaModule(CamelCase) ... CamelCased EcaModule. Renamed all instances of ecalayer to EcaModule. eca_module.py->EcaModule.py	5 years ago
Ross Wightman	5c4991a088	Add PyTorch trained EfficientNet-ES weights from Andrew Lavin	5 years ago
Chris Ha	d04ff95eda	Merge branch 'master' into eca	5 years ago
Chris Ha	d63ae121d5	Clean up eca_module code ... functionally similar adjusted rwightman's version of reshaping and viewing. Use F.pad for circular eca version for cleaner code	5 years ago
Ross Wightman	d66819d1f3	Indentation mistake. Fixes #81	5 years ago
Chris Ha	f87fcd7e88	Implement Eca modules ... implement ECA module by 1. adopting original eca_module.py into models folder 2. adding use_eca layer besides every instance of SE layer	5 years ago
Ross Wightman	4808b3c32f	Bump version for PyPi update, fix few out of date README items/mistakes, add README updates for TF EfficientNet-B8 (RandAugment)	5 years ago
Ross Wightman	7d07ebb660	Adding some configs to sknet, incl ResNet50 variants from 'Compounding ... Assembled Techniques' paper and original SKNet50	5 years ago
Ross Wightman	a9d2424fd1	Add separate zero_init_last_bn function to support more block variety without a mess	5 years ago
Ross Wightman	355aa152d5	Just leave it float for now, will look at fp16 later. Remove unused reference code.	5 years ago
Ross Wightman	ef457555d3	BlockDrop working on GPU	5 years ago
Ross Wightman	3ff19079f9	Missed nn_ops.py from last commit	5 years ago
Ross Wightman	9f11b4e8a2	Add ConvBnAct layer to parallel integrated SelectKernelConv, add support for DropPath and DropBlock to ResNet base and SK blocks	5 years ago
Ross Wightman	cefc9b7761	Move SelectKernelConv to conv2d_layers and more ... * always apply attention in SelectKernelConv, leave MixedConv for no attention alternative * make MixedConv torchscript compatible * refactor first/previous dilation name to make more sense in ResNet* networks	5 years ago
Ross Wightman	9abe610931	Used wrong channel var for split	5 years ago
Ross Wightman	58e28dc7e7	Move Selective Kernel blocks/convs to their own sknet.py file	5 years ago
Ross Wightman	a93bae6dc5	A SelectiveKernelBasicBlock for more experiments	5 years ago
Ross Wightman	ad087b4b17	Missed bias=False in selection conv	5 years ago
Ross Wightman	c8b3d6b81a	Initial impl of Selective Kernel Networks. Very much a WIP.	5 years ago
Ross Wightman	1daa303744	Add support to Dataset for class id mapping file, clean up a bit of old logic. Add results file arg for validation and update script.	5 years ago
Ross Wightman	91534522f9	Add newly added TF ported EfficientNet-B8 weights (RandAugment)	5 years ago
Ross Wightman	12dbc74742	New ResNet50 JSD + RandAugment weights	5 years ago
Ross Wightman	2f41905ba5	Update ResNet50 weights to AuxMix trained 78.994 top-1. A few commentes re 'tiered_narrow' tn variant.	5 years ago
Ross Wightman	d9a6a9d0af	Merge pull request #74 from rwightman/augmix-jsd ... AugMix, JSD loss, SplitBatchNorm (Auxiliary BN), and more	5 years ago
Ross Wightman	3eb4a96eda	Update AugMix, JSD, etc comments and references	5 years ago
Ross Wightman	a28117ea46	Add tiered narrow ResNet (tn) and weights for seresnext26tn_32x4d	5 years ago
Ross Wightman	833066b540	A few minor things in SplitBN	5 years ago
Ross Wightman	7547119891	Add SplitBatchNorm. AugMix, Rand/AutoAugment, Split (Aux) BatchNorm, Jensen-Shannon Divergence, RandomErasing all working together	5 years ago
Ross Wightman	2e955cfd0c	Update RandomErasing with some improved arg names, tweak to aspect range	5 years ago
Ross Wightman	3cc0f91e23	Fix augmix variable name scope overlap, default non-blended mode	5 years ago
Ross Wightman	ec0dd4053a	Add updated RandAugment trained EfficientNet-B0 trained weights from @michaelklachko	5 years ago
Ross Wightman	40fea63ebe	Add checkpoint averaging script. Add headers, shebangs, exec perms to all scripts	5 years ago
Ross Wightman	4666cc9aed	Add --pin-mem arg to enable dataloader pin_memory (showing more benefit in some scenarios now), also add --torchscript arg to validate.py for testing models with jit.script	5 years ago
Ross Wightman	53001dd292	ResNet / Res2Net additions: ... * ResNet torchscript compat * output_stride arg supported to limit network stride via dilations (support for dilation added to Res2Net) * allow activation layer to be changed via act_layer arg	5 years ago
Ross Wightman	f96b3e5e92	InceptionResNetV2 torchscript compatible	5 years ago
Ross Wightman	19d93fe454	Add selecsls60 weights	5 years ago
Ross Wightman	0062c15fb0	Update checkpoint url with modelzoo compatible ones.	5 years ago
Ross Wightman	b5315e66b5	Streamline SelecSLS model without breaking checkpoint compat. Move cfg handling out of model class. Update feature/pooling behaviour to match current.	5 years ago
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	19fc205a4d	Update comments on the new SE-ResNeXt26 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	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	ff421e5e09	New PyTorch trained EfficientNet-B2 weights with my RandAugment impl	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	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	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	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	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	0d58c50fb1	Add TF RandAug weights for B5/B7 EfficientNet models.	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
Ross Wightman	a9eb484835	Add memory efficient Swish impl	5 years ago
rwightman	d3ba34ee7e	Fix Mobilenet V3 model name for sotabench. Minor res2net cleanup.	5 years ago
Ross Wightman	2680ad14bb	Add Res2Net and DLA to README	5 years ago
rwightman	adbf770f16	Add Res2Net and DLA models w/ pretrained weights. Update sotabench.	5 years ago
Ross Wightman	4002c0d4ce	Fix AutoAugment abs translate calc	5 years ago
Ross Wightman	c06274e5a2	Add note on random selection of magnitude value	5 years ago
Ross Wightman	b750b76f67	More AutoAugment work. Ready to roll...	5 years ago
Ross Wightman	25d2088d9e	Working on auto-augment	5 years ago
Ross Wightman	aff194f42c	Merge pull request #32 from rwightman/opt ... More optimizer work	5 years ago
Ross Wightman	64966f61f7	Add Nvidia's NovogGrad impl from Jasper (cleaner/faster than current) and Apex Fused optimizers	5 years ago
Ross Wightman	3d9c8a6489	Add support for new AMP checkpointing support w/ amp.state_dict	5 years ago
Ross Wightman	ba3c97c3ad	Some Lookahead cleanup and fixes	5 years ago
Ross Wightman	e9d2ec4d8e	Merge pull request #31 from rwightman/opt ... Optimizers and more	5 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	81875d52a6	Update sotabench model list, add Mean-Max pooling DPN variants, disable download progress	5 years ago
Ross Wightman	f37e633e9b	Merge remote-tracking branch 'origin/re-exp' into opt	5 years ago
Ross Wightman	b06dce8d71	Bump version for next push to pypi	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	daeaa113e2	Add initial sotabench attempt. Split create_transform out of create_loader. Update requirements.txt	5 years ago
Ross Wightman	66634d2200	Add support to split random erasing blocks into randomly selected number with --recount arg. Fix random selection of aspect ratios.	5 years ago
Ross Wightman	6946281fde	Experimenting with random erasing changes	5 years ago
Ross Wightman	aeaaad7304	Merge pull request #24 from rwightman/gluon_xception ... Port Gluon Aligned Xception models	5 years ago
Ross Wightman	3b4868f6dc	A few more additions to Gluon Xception models to match interface of others.	5 years ago
Ross Wightman	4d505e0785	Add working Gluon Xception-65 model. Some cleanup still needed.	5 years ago
Minqin Chen	4e7a854dd0	Update helpers.py ... Fixing out of memory error by loading the checkpoint onto the CPU.	5 years ago
Ross Wightman	0c874195db	Update results csv files, bump version for timm pip release	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	e7c8a37334	Make min-lr and cooldown-epochs cmdline args, change dash in color_jitter arg for consistency	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	7a92caa560	Add basic image folder style dataset to read directly out of tar files, example in validate.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	3d9be78fc6	A bit more ResNet cleanup. ... * add inplace=True back * minor comment improvements * few clarity changes	5 years ago
Ross Wightman	33436fafad	Add weights for ResNeXt50d model	5 years ago
Ross Wightman	e78cd79073	Move ResNet additions for Gluon into main ResNet impl. Add ResNet-26 and ResNet-26d models with weights.	5 years ago
Ross Wightman	6cdf35e670	Add explicit half/fp16 support to loader and validation script	5 years ago
Ross Wightman	a6b2f6eca5	Update README, bump version	5 years ago
Ross Wightman	949b7a81c4	Fix typo in Densenet default resolutions	5 years ago
Ross Wightman	da52fcf78a	Add NASNet-Large model	5 years ago
Ross Wightman	6057496409	Register dpn107	5 years ago
Ross Wightman	3d1a66b6fc	Version 0.1.6	5 years ago
Ross Wightman	a6878b5218	Fix DPN config keys that I broke	5 years ago
Ross Wightman	9b0070edc9	Add two comments back, fix typo	5 years ago
Ross Wightman	188aeae8f4	Bump version 0.1.4	5 years ago
Ross Wightman	c3287aafb3	Slight improvement in EfficientNet-B2 native PyTorch weights	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	5 years ago
Ross Wightman	65a634626f	Switch random erasing to doing normal_() on CPU to avoid instability, remove a debug print	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	fe59249701	Bump version to 0.1.2	5 years ago
Ross Wightman	171c0b88b6	Add model registry and model listing fns, refactor model_factory/create_model fn	5 years ago
Ross Wightman	8512436436	Add instagram pretrained ResNeXt models from https://pytorch.org/hub/facebookresearch_WSL-Images_resnext/, update README	5 years ago
Ross Wightman	87b92c528e	Some pretrianed URL changes ... * host some of Cadene's weights on github instead of .fr for speed * add my old port of ensemble adversarial inception resnet v2 * switch to my TF port of normal inception res v2 and change FC layer back to 'classif' for compat with ens_adv	5 years ago
Ross Wightman	827a3d6010	Add current checkpoints output back to CheckpointSaver (via logger)	5 years ago
Ross Wightman	63961b36a2	Missed pnasnet entrypoint	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