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Functions1,192 in github.com/SeuTao/kaggle-competition-solutions

⨍ Functions 1,192◇ Types & classes 259
↓ 59 callersMethodwrite
(self, message, is_terminal=1, is_file=1 )
NIPS19_Recursion_CellSignal_2nd_solution/include.py:98
↓ 36 callersMethodlog
(self, string)
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/sdcnet/utility/tools.py:23
↓ 21 callersMethod__init__
(self, channel)
Kaggle_Airbus_8th_solution/model/model_stnet.py:410
↓ 20 callersFunctioncriterion
(predict, coupling_value)
Predicting_Molecular_Properties/src/nn_utils.py:139
↓ 20 callersMethodwrite
(self, message, is_terminal=1, is_file=1)
Predicting_Molecular_Properties/src/nn_utils.py:34
↓ 19 callersMethodopen
(self, file, mode=None)
Predicting_Molecular_Properties/src/nn_utils.py:28
↓ 16 callersFunctionget_5foldloader
Build and return data loader.
Kaggle_Airbus_8th_solution/data_loader.py:182
↓ 12 callersFunctionto_var
(x, volatile=False)
NIPS19_Recursion_CellSignal_2nd_solution/utils.py:131
↓ 12 callersMethodupdate
(self, val, n=1)
stanford-covid-vaccine/GCN.py:45
↓ 11 callersFunctionf2
(masks_true, masks_pred)
Kaggle_Airbus_8th_solution/metric.py:93
↓ 10 callersMethod__init__
(self, input_channels = 3, filters_base = 32, down_filter_f
Kaggle_Airbus_8th_solution/model/model_unet.py:291
↓ 10 callersFunctionconv2d
(channels_in, channels_out, kernel_size=3, stride=1, bias = True)
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/sdcnet/models/model_utils.py:6
↓ 10 callersFunctionload_model
(model: nn.Module, path: Path)
CVPR19_iMetCollection_7th_solution/utils.py:28
↓ 10 callersMethodto_var
(self, x, volatile=False)
Kaggle_Airbus_8th_solution/main_5FoldCV_multiGPU_DeepSupervision.py:166
↓ 9 callersMethod__init__
Parameters ---------- block (nn.Module): Bottleneck class. - For SENet154: SEBottleneck - For SE-ResN
CVPR19_iMetCollection_7th_solution/models/models.py:330
↓ 9 callersMethodval_NoTTA
(self, fold_index, is_load, val_loader)
Kaggle_Airbus_8th_solution/main_5FoldCV_multiGPU.py:269
↓ 8 callersFunctionconv_se_block
(x,filters,pool_stride,pool_size,pool_mode,cfg, ratio = 4)
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/models.py:25
↓ 8 callersFunctionget_model
(model, CLASSNUM=1139)
NIPS19_Recursion_CellSignal_2nd_solution/main.py:38
↓ 8 callersFunctionpooling_block
(x,pool_size,stride,pool_mode, cfg)
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/models.py:62
↓ 8 callersMethodsoftmax
(self, x, index, num=None)
Predicting_Molecular_Properties/src/model.py:152
↓ 8 callersMethodstep
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
SIIM19_Pneumothorax_Segmentation_2nd_solution/src_unet_seg/tuils/lrs_scheduler.py:210
↓ 8 callersMethodstep
(self, closure=None)
Predicting_Molecular_Properties/src/Nadam.py:18
↓ 8 callersMethodto_var
(self, x, volatile=False)
Kaggle_Airbus_8th_solution/main_5FoldCV_multiGPU_non-empty.py:164
↓ 8 callersMethodto_var
(self, x, volatile=False)
Kaggle_Airbus_8th_solution/main_5FoldCV_multiGPU.py:138
↓ 7 callersMethod__init__
(self,channel)
Kaggle_Airbus_8th_solution/model/model_dinknet.py:67
↓ 7 callersMethodforward
(self, x)
Kaggle_Airbus_8th_solution/model/senet.py:364
↓ 7 callersFunctioninitialize_pretrained_model
(model, num_classes, settings)
CVPR19_iMetCollection_7th_solution/models/models.py:493
↓ 7 callersFunctionsqueeze_excitation_layer
SE module performs inter-channel weighting.
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/models.py:11
↓ 6 callersFunctionUpsample
Wrapper Around the Upsample Call
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/network/mynn.py:34
↓ 6 callersMethod__init__
(self, channel, reduction=16)
Kaggle_Airbus_8th_solution/model/misc.py:68
↓ 6 callersMethod__init__
(self, node_dim, out_dim, dropout)
Predicting_Molecular_Properties/src/model.py:65
↓ 6 callersFunction_compute_score_with_coefficients
(predicts, coefficients)
NIPS19_Recursion_CellSignal_2nd_solution/ensemble.py:41
↓ 6 callersFunctiondeconv2d
(channels_in, channels_out, kernel_size=4, stride=2, padding=1, bias=True)
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/sdcnet/models/model_utils.py:12
↓ 6 callersFunctionget_ids
(root: Path)
CVPR19_iMetCollection_7th_solution/dataset.py:111
↓ 6 callersFunctionget_oofp
(cfg, get_model)
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/predict.py:9
↓ 6 callersFunctioninitialize_pretrained_model
(model, num_classes, settings)
Kaggle_Airbus_8th_solution/model/senet.py:370
↓ 6 callersFunctionmain
(cfg,get_model)
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/train.py:50
↓ 6 callersFunctionmulti_step_augmentation
(model, mask_prefix, colormask_prefix, rgb_prefix, sequence_prefix, split, mode, reverse, propagate)
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/sdcnet/sdc_aug.py:173
↓ 6 callersFunctionone_step_augmentation
(model, mask_prefix, colormask_prefix, rgb_prefix, sequence_prefix, split, mode, reverse)
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/sdcnet/sdc_aug.py:64
↓ 6 callersFunctionpre_balance
(pre, iter = 3000, is_show = True)
NIPS19_Recursion_CellSignal_2nd_solution/ensemble.py:65
↓ 6 callersFunctionpredict_test
(cfg,get_model)
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/predict.py:44
↓ 6 callersFunctionsearch_f1
(output, target)
SIIM19_Pneumothorax_Segmentation_2nd_solution/src_unet_cls/stacking.py:42
↓ 6 callersFunctionsplit_and_label
(rows_labels)
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/utils.py:173
↓ 6 callersMethodval
(self, fold_index, is_load)
Kaggle_Airbus_8th_solution/main_5FoldCV_multiGPU_non-empty.py:260
↓ 6 callersMethodval
(self, fold_index, is_load)
Kaggle_Airbus_8th_solution/main_5FoldCV_multiGPU.py:233
↓ 6 callersFunctionwrite_event
(log, step: int, **data)
CVPR19_iMetCollection_7th_solution/utils.py:59
↓ 5 callersFunctionStconv3x3
(in_, out, bias=True)
Kaggle_Airbus_8th_solution/model/model_stnet.py:9
↓ 5 callersFunctionaug_image
(image, is_infer=False, augment = None, type = None)
NIPS19_Recursion_CellSignal_2nd_solution/process/augmentation.py:193
↓ 5 callersFunctioncomputeAUROC
(dataGT, dataPRED, classCount)
SIIM19_Pneumothorax_Segmentation_2nd_solution/src_unet_cls/stacking.py:25
↓ 5 callersMethodgather
(self, outputs, output_device)
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/utils/my_data_parallel.py:202
↓ 5 callersFunctioninitialize_weights
Initialize Model Weights
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/network/mynn.py:18
↓ 5 callersMethodload_pretrained_model
(self, fold_index)
Kaggle_Airbus_8th_solution/main_5FoldCV_multiGPU_non-empty.py:142
↓ 5 callersMethodload_pretrained_model
(self, fold_index)
Kaggle_Airbus_8th_solution/main_5FoldCV_multiGPU_DeepSupervision.py:142
↓ 5 callersMethodload_pretrained_model
(self, fold_index)
Kaggle_Airbus_8th_solution/main_5FoldCV_multiGPU.py:126
↓ 5 callersFunctionmain
(cfg,get_model)
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/pretrain.py:7
↓ 5 callersFunctionsoftmax_loss
(results, labels, ignore_index = -1)
NIPS19_Recursion_CellSignal_2nd_solution/loss/loss.py:92
↓ 4 callersFunctionAveMaxPool
(x, pool_size,stride, ave_axis)
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/models.py:41
↓ 4 callersFunctionDeepSRNX50V3PlusD_m1
SEResnet 50 Based Network
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/network/deepv3.py:291
↓ 4 callersMethod__init__
Parameters ---------- block (nn.Module): Bottleneck class. - For SENet154: SEBottleneck - For SE-ResN
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/network/SEresnext.py:199
↓ 4 callersMethod__init__
Parameters ---------- block (nn.Module): Bottleneck class. - For SENet154: SEBottleneck - For SE-ResN
Kaggle_Airbus_8th_solution/model/senet.py:210
↓ 4 callersFunction_is_pil_image
(img)
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/transforms/transforms.py:176
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, groups, reduction, stride=1, downsample_kernel_size=1, downs
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/network/SEresnext.py:317
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1)
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/network/Resnet.py:162
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1, IN=False)
Kaggle_Airbus_8th_solution/model/resnet_ibn_b.py:129
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1)
Kaggle_Airbus_8th_solution/model/resnet_ibn_a.py:144
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1)
Kaggle_Airbus_8th_solution/model/se_resnet_ibn_a.py:134
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, groups, reduction, stride=1, downsample_kernel_size=1, downs
Kaggle_Airbus_8th_solution/model/senet.py:328
↓ 4 callersMethod_make_layer
Stack n bottleneck modules where n is inferred from the depth of the network. Args: block: block type used to construct ResNext
Kaggle_Airbus_8th_solution/model/resnext_ibn_a.py:134
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1, alpha_in=0.5, alpha_out=0.5, norm_layer=None, output=False)
CVPR19_iMetCollection_7th_solution/models/oct_resnet.py:90
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, stride=1)
CVPR19_iMetCollection_7th_solution/models/resnet_sge.py:157
↓ 4 callersMethod_make_layer
(self, block, planes, blocks, groups, reduction, stride=1, downsample_kernel_size=1, downs
CVPR19_iMetCollection_7th_solution/models/models.py:450
↓ 4 callersFunctionconv_block
(x,filters,pool_stride,pool_size,pool_mode,cfg)
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/models.py:85
↓ 4 callersFunctionconv_cat_block
(x, filters, pool_stride, pool_size, pool_mode, cfg)
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/models.py:100
↓ 4 callersFunctionconv_se_cat_block
(x, filters, pool_stride, pool_size, pool_mode, cfg)
DCASE19_Freesound_Audio_Tagging2019_1st_solution/code/models.py:119
↓ 4 callersFunctiondo_valid
(net, valid_loader, predict_num = [0,1108])
NIPS19_Recursion_CellSignal_2nd_solution/main.py:50
↓ 4 callersMethodforward
(self, inputs, labels = None)
NIPS19_Recursion_CellSignal_2nd_solution/net/archead.py:32
↓ 4 callersFunctionget_center
(vectors)
NIPS19_Recursion_CellSignal_2nd_solution/utils.py:184
↓ 4 callersMethodimmutable
Set immutability to is_immutable and recursively apply the setting to all nested AttrDicts.
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/utils/attr_dict.py:58
↓ 4 callersFunctionmean_df
(df: pd.DataFrame)
CVPR19_iMetCollection_7th_solution/utils.py:24
↓ 4 callersFunctionmixed_dice_bce_loss
(output, target, dice_weight=0.2, dice_loss=None, bce_weight=0.9, bce_loss=None,
Kaggle_Airbus_8th_solution/loss/loss.py:20
↓ 4 callersFunctionnormal_dict
(dict_input)
Predicting_Molecular_Properties/src/preparing.py:109
↓ 4 callersFunctionreplace
(cell, origin, new, csv )
NIPS19_Recursion_CellSignal_2nd_solution/ensemble.py:495
↓ 4 callersFunctionsoftmax_np
(x)
NIPS19_Recursion_CellSignal_2nd_solution/ensemble.py:202
↓ 4 callersMethodstep
Performs a single optimization step. Arguments: closure (callable, optional): A closure that reevaluates the model
SIIM19_Pneumothorax_Segmentation_2nd_solution/src_unet_cls/tuils/lrs_scheduler.py:210
↓ 4 callersFunctionsubmit_fold
(names, net, device=device)
Predicting_Molecular_Properties/src/nn_submit.py:33
↓ 4 callersFunctiontime_to_str
(t, mode='min')
NIPS19_Recursion_CellSignal_2nd_solution/include.py:155
↓ 4 callersMethodupdate
(self, val, n=1)
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/utils/misc.py:300
↓ 4 callersFunctionupdate_pseudo_labels
(pseudo_logit, ids, ratio = 0.9, tta_num = 1, iters = 3000)
NIPS19_Recursion_CellSignal_2nd_solution/main.py:475
↓ 3 callersMethod__init__
Wider ResNet with pre-activation (identity mapping) blocks Parameters ---------- structure : list of int Number o
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/network/wider_resnet.py:191
↓ 3 callersMethod__init__
(self)
SIIM19_Pneumothorax_Segmentation_2nd_solution/src_unet_seg/ef_unet.py:40
↓ 3 callersMethod__init__
(self)
SIIM19_Pneumothorax_Segmentation_2nd_solution/src_unet_cls/models/model_unet.py:92
↓ 3 callersMethod__init__
(self, planes)
Kaggle_Airbus_8th_solution/model/resnet_ibn_a.py:57
↓ 3 callersMethod__init__
(self, planes)
Kaggle_Airbus_8th_solution/model/se_resnet_ibn_a.py:13
↓ 3 callersMethod__init__
(self,in_filters,out_filters,reps,strides=1,start_with_relu=True,grow_first=True)
NIPS19_Recursion_CellSignal_2nd_solution/net/imagenet_pretrain_model/xception.py:64
↓ 3 callersMethod__init__
(self, block, layers, num_classes=1000, zero_init_residual=False)
CVPR19_iMetCollection_7th_solution/models/resnet_sge.py:125
↓ 3 callersMethod__init__
(self, num_classes=1000, pretrained='imagenet')
CVPR19_iMetCollection_7th_solution/models/e_model.py:8
↓ 3 callersMethod__len__
(self)
SIIM19_Pneumothorax_Segmentation_2nd_solution/src_unet_cls/stacking.py:75
↓ 3 callersFunction_get_predicts
(predicts, coefficients)
NIPS19_Recursion_CellSignal_2nd_solution/ensemble.py:32
↓ 3 callersFunctionadd_items
(img_path, mask_path, aug_img_path, aug_mask_path, mode, maxSkip)
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/datasets/camvid.py:73
↓ 3 callersFunctionadd_items
Add More items ot the list from the augmented dataset
SIIM19_Pneumothorax_Segmentation_2nd_solution/semantic_segmentation/datasets/cityscapes.py:44
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