wehub-resource-sync
900 lines
43 KiB
Python
900 lines
43 KiB
Python
# AUTOGENERATED BY NBDEV! DO NOT EDIT!
|
|
|
|
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
|
|
|
|
index = {"defaults.benchmark": "00_torch_core.ipynb",
|
|
"setup_cuda": "00_torch_core.ipynb",
|
|
"subplots": "00_torch_core.ipynb",
|
|
"show_image": "00_torch_core.ipynb",
|
|
"show_titled_image": "00_torch_core.ipynb",
|
|
"show_images": "00_torch_core.ipynb",
|
|
"ArrayBase": "00_torch_core.ipynb",
|
|
"ArrayImageBase": "00_torch_core.ipynb",
|
|
"ArrayImage": "00_torch_core.ipynb",
|
|
"ArrayImageBW": "00_torch_core.ipynb",
|
|
"ArrayMask": "00_torch_core.ipynb",
|
|
"Tensor.__array_eq__": "00_torch_core.ipynb",
|
|
"tensor": "00_torch_core.ipynb",
|
|
"set_seed": "00_torch_core.ipynb",
|
|
"get_random_states": "00_torch_core.ipynb",
|
|
"set_random_states": "00_torch_core.ipynb",
|
|
"no_random": "00_torch_core.ipynb",
|
|
"unsqueeze": "00_torch_core.ipynb",
|
|
"unsqueeze_": "00_torch_core.ipynb",
|
|
"apply": "00_torch_core.ipynb",
|
|
"maybe_gather": "00_torch_core.ipynb",
|
|
"to_detach": "00_torch_core.ipynb",
|
|
"to_half": "00_torch_core.ipynb",
|
|
"to_float": "00_torch_core.ipynb",
|
|
"defaults.use_cuda": "00_torch_core.ipynb",
|
|
"default_device": "00_torch_core.ipynb",
|
|
"to_device": "00_torch_core.ipynb",
|
|
"to_cpu": "00_torch_core.ipynb",
|
|
"to_np": "00_torch_core.ipynb",
|
|
"to_concat": "00_torch_core.ipynb",
|
|
"Tensor.set_meta": "00_torch_core.ipynb",
|
|
"Tensor.as_subclass": "00_torch_core.ipynb",
|
|
"TensorBase": "00_torch_core.ipynb",
|
|
"TensorImageBase": "00_torch_core.ipynb",
|
|
"TensorImage": "00_torch_core.ipynb",
|
|
"TensorImageBW": "00_torch_core.ipynb",
|
|
"TensorMask": "00_torch_core.ipynb",
|
|
"TensorFlowField": "00_torch_core.ipynb",
|
|
"TensorCategory": "00_torch_core.ipynb",
|
|
"TensorMultiCategory": "00_torch_core.ipynb",
|
|
"TitledTensorScalar": "00_torch_core.ipynb",
|
|
"L.tensored": "00_torch_core.ipynb",
|
|
"L.stack": "00_torch_core.ipynb",
|
|
"L.cat": "00_torch_core.ipynb",
|
|
"concat": "00_torch_core.ipynb",
|
|
"Chunks": "00_torch_core.ipynb",
|
|
"show_title": "00_torch_core.ipynb",
|
|
"ShowTitle": "00_torch_core.ipynb",
|
|
"TitledInt": "00_torch_core.ipynb",
|
|
"TitledFloat": "00_torch_core.ipynb",
|
|
"TitledStr": "00_torch_core.ipynb",
|
|
"TitledTuple": "00_torch_core.ipynb",
|
|
"TitledStr.truncate": "00_torch_core.ipynb",
|
|
"pd.DataFrame.__init__": "00_torch_core.ipynb",
|
|
"get_empty_df": "00_torch_core.ipynb",
|
|
"display_df": "00_torch_core.ipynb",
|
|
"get_first": "00_torch_core.ipynb",
|
|
"one_param": "00_torch_core.ipynb",
|
|
"item_find": "00_torch_core.ipynb",
|
|
"find_device": "00_torch_core.ipynb",
|
|
"find_bs": "00_torch_core.ipynb",
|
|
"np_func": "00_torch_core.ipynb",
|
|
"Module": "00_torch_core.ipynb",
|
|
"get_model": "00_torch_core.ipynb",
|
|
"one_hot": "00_torch_core.ipynb",
|
|
"one_hot_decode": "00_torch_core.ipynb",
|
|
"params": "00_torch_core.ipynb",
|
|
"trainable_params": "00_torch_core.ipynb",
|
|
"norm_types": "00_torch_core.ipynb",
|
|
"norm_bias_params": "00_torch_core.ipynb",
|
|
"batch_to_samples": "00_torch_core.ipynb",
|
|
"Tensor.interp_1d": "00_torch_core.ipynb",
|
|
"Tensor.pca": "00_torch_core.ipynb",
|
|
"logit": "00_torch_core.ipynb",
|
|
"num_distrib": "00_torch_core.ipynb",
|
|
"rank_distrib": "00_torch_core.ipynb",
|
|
"distrib_barrier": "00_torch_core.ipynb",
|
|
"Path.save_array": "00_torch_core.ipynb",
|
|
"Path.load_array": "00_torch_core.ipynb",
|
|
"base_doc": "00_torch_core.ipynb",
|
|
"doc": "00_torch_core.ipynb",
|
|
"nested_reorder": "00_torch_core.ipynb",
|
|
"make_cross_image": "00_torch_core.ipynb",
|
|
"show_image_batch": "00_torch_core.ipynb",
|
|
"requires_grad": "00_torch_core.ipynb",
|
|
"init_default": "01_layers.ipynb",
|
|
"cond_init": "00_torch_core.ipynb",
|
|
"apply_leaf": "00_torch_core.ipynb",
|
|
"apply_init": "00_torch_core.ipynb",
|
|
"script_use_ctx": "00_torch_core.ipynb",
|
|
"script_save_ctx": "00_torch_core.ipynb",
|
|
"script_fwd": "00_torch_core.ipynb",
|
|
"script_bwd": "00_torch_core.ipynb",
|
|
"grad_module": "00_torch_core.ipynb",
|
|
"ismin_torch": "00_torch_core.ipynb",
|
|
"notmax_torch": "00_torch_core.ipynb",
|
|
"module": "01_layers.ipynb",
|
|
"Identity": "01_layers.ipynb",
|
|
"Lambda": "01_layers.ipynb",
|
|
"PartialLambda": "01_layers.ipynb",
|
|
"Flatten": "01_layers.ipynb",
|
|
"ToTensorBase": "01_layers.ipynb",
|
|
"View": "01_layers.ipynb",
|
|
"ResizeBatch": "01_layers.ipynb",
|
|
"Debugger": "01_layers.ipynb",
|
|
"sigmoid_range": "01_layers.ipynb",
|
|
"SigmoidRange": "01_layers.ipynb",
|
|
"AdaptiveConcatPool1d": "01_layers.ipynb",
|
|
"AdaptiveConcatPool2d": "01_layers.ipynb",
|
|
"PoolType": "01_layers.ipynb",
|
|
"adaptive_pool": "01_layers.ipynb",
|
|
"PoolFlatten": "01_layers.ipynb",
|
|
"NormType": "01_layers.ipynb",
|
|
"BatchNorm": "01_layers.ipynb",
|
|
"InstanceNorm": "01_layers.ipynb",
|
|
"BatchNorm1dFlat": "01_layers.ipynb",
|
|
"LinBnDrop": "01_layers.ipynb",
|
|
"sigmoid": "01_layers.ipynb",
|
|
"sigmoid_": "01_layers.ipynb",
|
|
"vleaky_relu": "01_layers.ipynb",
|
|
"init_linear": "01_layers.ipynb",
|
|
"defaults.activation": "01_layers.ipynb",
|
|
"ConvLayer": "01_layers.ipynb",
|
|
"AdaptiveAvgPool": "01_layers.ipynb",
|
|
"MaxPool": "01_layers.ipynb",
|
|
"AvgPool": "01_layers.ipynb",
|
|
"trunc_normal_": "01_layers.ipynb",
|
|
"Embedding": "01_layers.ipynb",
|
|
"SelfAttention": "01_layers.ipynb",
|
|
"PooledSelfAttention2d": "01_layers.ipynb",
|
|
"SimpleSelfAttention": "01_layers.ipynb",
|
|
"icnr_init": "01_layers.ipynb",
|
|
"PixelShuffle_ICNR": "01_layers.ipynb",
|
|
"sequential": "01_layers.ipynb",
|
|
"SequentialEx": "01_layers.ipynb",
|
|
"MergeLayer": "01_layers.ipynb",
|
|
"Cat": "01_layers.ipynb",
|
|
"SimpleCNN": "01_layers.ipynb",
|
|
"ProdLayer": "01_layers.ipynb",
|
|
"inplace_relu": "01_layers.ipynb",
|
|
"SEModule": "01_layers.ipynb",
|
|
"ResBlock": "01_layers.ipynb",
|
|
"SEBlock": "01_layers.ipynb",
|
|
"SEResNeXtBlock": "01_layers.ipynb",
|
|
"SeparableBlock": "01_layers.ipynb",
|
|
"TimeDistributed": "01_layers.ipynb",
|
|
"swish": "01_layers.ipynb",
|
|
"Swish": "01_layers.ipynb",
|
|
"MishJitAutoFn": "01_layers.ipynb",
|
|
"mish": "01_layers.ipynb",
|
|
"Mish": "01_layers.ipynb",
|
|
"ParameterModule": "01_layers.ipynb",
|
|
"children_and_parameters": "01_layers.ipynb",
|
|
"has_children": "01_layers.ipynb",
|
|
"flatten_model": "01_layers.ipynb",
|
|
"NoneReduce": "01_layers.ipynb",
|
|
"in_channels": "01_layers.ipynb",
|
|
"BaseLoss": "01a_losses.ipynb",
|
|
"CrossEntropyLossFlat": "01a_losses.ipynb",
|
|
"FocalLoss": "01a_losses.ipynb",
|
|
"FocalLossFlat": "01a_losses.ipynb",
|
|
"BCEWithLogitsLossFlat": "01a_losses.ipynb",
|
|
"BCELossFlat": "01a_losses.ipynb",
|
|
"MSELossFlat": "01a_losses.ipynb",
|
|
"L1LossFlat": "01a_losses.ipynb",
|
|
"LabelSmoothingCrossEntropy": "01a_losses.ipynb",
|
|
"LabelSmoothingCrossEntropyFlat": "01a_losses.ipynb",
|
|
"DiceLoss": "01a_losses.ipynb",
|
|
"fa_collate": "02_data.load.ipynb",
|
|
"fa_convert": "02_data.load.ipynb",
|
|
"SkipItemException": "02_data.load.ipynb",
|
|
"collate_error": "02_data.load.ipynb",
|
|
"DataLoader": "02_data.load.ipynb",
|
|
"TfmdDL": "03_data.core.ipynb",
|
|
"DataLoaders": "03_data.core.ipynb",
|
|
"FilteredBase": "03_data.core.ipynb",
|
|
"TfmdLists": "03_data.core.ipynb",
|
|
"decode_at": "03_data.core.ipynb",
|
|
"show_at": "03_data.core.ipynb",
|
|
"Datasets": "03_data.core.ipynb",
|
|
"test_set": "03_data.core.ipynb",
|
|
"DataLoaders.test_dl": "03_data.core.ipynb",
|
|
"fastai_cfg": "04_data.external.ipynb",
|
|
"fastai_path": "04_data.external.ipynb",
|
|
"URLs": "04_data.external.ipynb",
|
|
"untar_data": "04_data.external.ipynb",
|
|
"get_files": "05_data.transforms.ipynb",
|
|
"FileGetter": "05_data.transforms.ipynb",
|
|
"image_extensions": "05_data.transforms.ipynb",
|
|
"get_image_files": "05_data.transforms.ipynb",
|
|
"ImageGetter": "05_data.transforms.ipynb",
|
|
"get_text_files": "05_data.transforms.ipynb",
|
|
"ItemGetter": "05_data.transforms.ipynb",
|
|
"AttrGetter": "05_data.transforms.ipynb",
|
|
"RandomSplitter": "05_data.transforms.ipynb",
|
|
"TrainTestSplitter": "05_data.transforms.ipynb",
|
|
"IndexSplitter": "05_data.transforms.ipynb",
|
|
"EndSplitter": "05_data.transforms.ipynb",
|
|
"GrandparentSplitter": "05_data.transforms.ipynb",
|
|
"FuncSplitter": "05_data.transforms.ipynb",
|
|
"MaskSplitter": "05_data.transforms.ipynb",
|
|
"FileSplitter": "05_data.transforms.ipynb",
|
|
"ColSplitter": "05_data.transforms.ipynb",
|
|
"RandomSubsetSplitter": "05_data.transforms.ipynb",
|
|
"parent_label": "05_data.transforms.ipynb",
|
|
"RegexLabeller": "05_data.transforms.ipynb",
|
|
"ColReader": "05_data.transforms.ipynb",
|
|
"CategoryMap": "05_data.transforms.ipynb",
|
|
"Categorize": "05_data.transforms.ipynb",
|
|
"Category": "05_data.transforms.ipynb",
|
|
"MultiCategorize": "05_data.transforms.ipynb",
|
|
"MultiCategory": "05_data.transforms.ipynb",
|
|
"OneHotEncode": "05_data.transforms.ipynb",
|
|
"EncodedMultiCategorize": "05_data.transforms.ipynb",
|
|
"RegressionSetup": "05_data.transforms.ipynb",
|
|
"get_c": "05_data.transforms.ipynb",
|
|
"ToTensor": "05_data.transforms.ipynb",
|
|
"IntToFloatTensor": "05_data.transforms.ipynb",
|
|
"broadcast_vec": "05_data.transforms.ipynb",
|
|
"Normalize": "05_data.transforms.ipynb",
|
|
"TransformBlock": "06_data.block.ipynb",
|
|
"CategoryBlock": "06_data.block.ipynb",
|
|
"MultiCategoryBlock": "06_data.block.ipynb",
|
|
"RegressionBlock": "06_data.block.ipynb",
|
|
"DataBlock": "06_data.block.ipynb",
|
|
"DataBlock.summary": "06_data.block.ipynb",
|
|
"imagenet_stats": "07_vision.core.ipynb",
|
|
"cifar_stats": "07_vision.core.ipynb",
|
|
"mnist_stats": "07_vision.core.ipynb",
|
|
"n_px": "07_vision.core.ipynb",
|
|
"shape": "60_medical.imaging.ipynb",
|
|
"aspect": "07_vision.core.ipynb",
|
|
"Image.Image.reshape": "07_vision.core.ipynb",
|
|
"Image.Image.to_bytes_format": "07_vision.core.ipynb",
|
|
"Image.Image.to_thumb": "07_vision.core.ipynb",
|
|
"Image.Image.resize_max": "07_vision.core.ipynb",
|
|
"to_image": "07_vision.core.ipynb",
|
|
"load_image": "07_vision.core.ipynb",
|
|
"image2tensor": "07_vision.core.ipynb",
|
|
"PILBase": "07_vision.core.ipynb",
|
|
"PILImage": "07_vision.core.ipynb",
|
|
"PILImageBW": "07_vision.core.ipynb",
|
|
"PILMask": "07_vision.core.ipynb",
|
|
"OpenMask": "07_vision.core.ipynb",
|
|
"OpenMask.loss_func": "07_vision.core.ipynb",
|
|
"PILMask.create": "07_vision.core.ipynb",
|
|
"AddMaskCodes": "07_vision.core.ipynb",
|
|
"TensorPoint": "07_vision.core.ipynb",
|
|
"TensorPointCreate": "07_vision.core.ipynb",
|
|
"TensorPointCreate.loss_func": "07_vision.core.ipynb",
|
|
"TensorPoint.create": "07_vision.core.ipynb",
|
|
"get_annotations": "07_vision.core.ipynb",
|
|
"TensorBBox": "07_vision.core.ipynb",
|
|
"LabeledBBox": "07_vision.core.ipynb",
|
|
"encodes": "40_tabular.core.ipynb",
|
|
"PointScaler": "07_vision.core.ipynb",
|
|
"BBoxLabeler": "07_vision.core.ipynb",
|
|
"decodes": "40_tabular.core.ipynb",
|
|
"get_grid": "08_vision.data.ipynb",
|
|
"clip_remove_empty": "08_vision.data.ipynb",
|
|
"bb_pad": "08_vision.data.ipynb",
|
|
"ImageBlock": "08_vision.data.ipynb",
|
|
"MaskBlock": "08_vision.data.ipynb",
|
|
"PointBlock": "08_vision.data.ipynb",
|
|
"BBoxBlock": "08_vision.data.ipynb",
|
|
"PointBlock.__doc__": "08_vision.data.ipynb",
|
|
"BBoxBlock.__doc__": "08_vision.data.ipynb",
|
|
"BBoxLblBlock": "08_vision.data.ipynb",
|
|
"ImageDataLoaders": "08_vision.data.ipynb",
|
|
"ImageDataLoaders.from_csv": "08_vision.data.ipynb",
|
|
"ImageDataLoaders.from_name_func": "08_vision.data.ipynb",
|
|
"ImageDataLoaders.from_path_re": "08_vision.data.ipynb",
|
|
"ImageDataLoaders.from_name_re": "08_vision.data.ipynb",
|
|
"SegmentationDataLoaders": "08_vision.data.ipynb",
|
|
"RandTransform": "09_vision.augment.ipynb",
|
|
"TensorTypes": "09_vision.augment.ipynb",
|
|
"Image.Image.flip_lr": "09_vision.augment.ipynb",
|
|
"TensorImageBase.flip_lr": "09_vision.augment.ipynb",
|
|
"TensorPoint.flip_lr": "09_vision.augment.ipynb",
|
|
"TensorBBox.flip_lr": "09_vision.augment.ipynb",
|
|
"FlipItem": "09_vision.augment.ipynb",
|
|
"PILImage.dihedral": "09_vision.augment.ipynb",
|
|
"TensorImage.dihedral": "09_vision.augment.ipynb",
|
|
"TensorPoint.dihedral": "09_vision.augment.ipynb",
|
|
"TensorBBox.dihedral": "09_vision.augment.ipynb",
|
|
"DihedralItem": "09_vision.augment.ipynb",
|
|
"TensorBBox.crop_pad": "09_vision.augment.ipynb",
|
|
"TensorPoint.crop_pad": "09_vision.augment.ipynb",
|
|
"Image.Image.crop_pad": "09_vision.augment.ipynb",
|
|
"CropPad": "09_vision.augment.ipynb",
|
|
"RandomCrop": "09_vision.augment.ipynb",
|
|
"OldRandomCrop": "09_vision.augment.ipynb",
|
|
"Resize": "09_vision.augment.ipynb",
|
|
"RandomResizedCrop": "09_vision.augment.ipynb",
|
|
"RatioResize": "09_vision.augment.ipynb",
|
|
"affine_grid": "09_vision.augment.ipynb",
|
|
"TensorImage.affine_coord": "09_vision.augment.ipynb",
|
|
"TensorMask.affine_coord": "09_vision.augment.ipynb",
|
|
"TensorPoint.affine_coord": "09_vision.augment.ipynb",
|
|
"TensorBBox.affine_coord": "09_vision.augment.ipynb",
|
|
"AffineCoordTfm": "09_vision.augment.ipynb",
|
|
"RandomResizedCropGPU": "09_vision.augment.ipynb",
|
|
"mask_tensor": "09_vision.augment.ipynb",
|
|
"affine_mat": "09_vision.augment.ipynb",
|
|
"flip_mat": "09_vision.augment.ipynb",
|
|
"TensorImage.flip_batch": "09_vision.augment.ipynb",
|
|
"TensorMask.flip_batch": "09_vision.augment.ipynb",
|
|
"TensorPoint.flip_batch": "09_vision.augment.ipynb",
|
|
"TensorBBox.flip_batch": "09_vision.augment.ipynb",
|
|
"Flip": "09_vision.augment.ipynb",
|
|
"DeterministicDraw": "09_vision.augment.ipynb",
|
|
"DeterministicFlip": "09_vision.augment.ipynb",
|
|
"dihedral_mat": "09_vision.augment.ipynb",
|
|
"TensorImage.dihedral_batch": "09_vision.augment.ipynb",
|
|
"TensorMask.dihedral_batch": "09_vision.augment.ipynb",
|
|
"TensorPoint.dihedral_batch": "09_vision.augment.ipynb",
|
|
"TensorBBox.dihedral_batch": "09_vision.augment.ipynb",
|
|
"Dihedral": "09_vision.augment.ipynb",
|
|
"DeterministicDihedral": "09_vision.augment.ipynb",
|
|
"rotate_mat": "09_vision.augment.ipynb",
|
|
"TensorImage.rotate": "09_vision.augment.ipynb",
|
|
"TensorMask.rotate": "09_vision.augment.ipynb",
|
|
"TensorPoint.rotate": "09_vision.augment.ipynb",
|
|
"TensorBBox.rotate": "09_vision.augment.ipynb",
|
|
"Rotate": "09_vision.augment.ipynb",
|
|
"zoom_mat": "09_vision.augment.ipynb",
|
|
"TensorImage.zoom": "09_vision.augment.ipynb",
|
|
"TensorMask.zoom": "09_vision.augment.ipynb",
|
|
"TensorPoint.zoom": "09_vision.augment.ipynb",
|
|
"TensorBBox.zoom": "09_vision.augment.ipynb",
|
|
"Zoom": "09_vision.augment.ipynb",
|
|
"find_coeffs": "09_vision.augment.ipynb",
|
|
"apply_perspective": "09_vision.augment.ipynb",
|
|
"TensorImage.warp": "09_vision.augment.ipynb",
|
|
"TensorMask.warp": "09_vision.augment.ipynb",
|
|
"TensorPoint.warp": "09_vision.augment.ipynb",
|
|
"TensorBBox.warp": "09_vision.augment.ipynb",
|
|
"Warp": "09_vision.augment.ipynb",
|
|
"TensorImage.lighting": "09_vision.augment.ipynb",
|
|
"SpaceTfm": "09_vision.augment.ipynb",
|
|
"LightingTfm": "09_vision.augment.ipynb",
|
|
"TensorImage.brightness": "09_vision.augment.ipynb",
|
|
"Brightness": "09_vision.augment.ipynb",
|
|
"TensorImage.contrast": "09_vision.augment.ipynb",
|
|
"Contrast": "09_vision.augment.ipynb",
|
|
"grayscale": "09_vision.augment.ipynb",
|
|
"TensorImage.saturation": "09_vision.augment.ipynb",
|
|
"Saturation": "09_vision.augment.ipynb",
|
|
"rgb2hsv": "09_vision.augment.ipynb",
|
|
"hsv2rgb": "09_vision.augment.ipynb",
|
|
"TensorImage.hsv": "09_vision.augment.ipynb",
|
|
"HSVTfm": "09_vision.augment.ipynb",
|
|
"TensorImage.hue": "09_vision.augment.ipynb",
|
|
"Hue": "09_vision.augment.ipynb",
|
|
"cutout_gaussian": "09_vision.augment.ipynb",
|
|
"norm_apply_denorm": "09_vision.augment.ipynb",
|
|
"RandomErasing": "09_vision.augment.ipynb",
|
|
"setup_aug_tfms": "09_vision.augment.ipynb",
|
|
"aug_transforms": "09_vision.augment.ipynb",
|
|
"download_images": "09b_vision.utils.ipynb",
|
|
"resize_to": "09b_vision.utils.ipynb",
|
|
"verify_image": "09b_vision.utils.ipynb",
|
|
"verify_images": "09b_vision.utils.ipynb",
|
|
"resize_image": "09b_vision.utils.ipynb",
|
|
"resize_images": "09b_vision.utils.ipynb",
|
|
"Box.__getitem__": "09c_vision.widgets.ipynb",
|
|
"widget": "09c_vision.widgets.ipynb",
|
|
"carousel": "09c_vision.widgets.ipynb",
|
|
"ImagesCleaner": "09c_vision.widgets.ipynb",
|
|
"ImageClassifierCleaner": "09c_vision.widgets.ipynb",
|
|
"init_cnn": "11_vision.models.xresnet.ipynb",
|
|
"XResNet": "11_vision.models.xresnet.ipynb",
|
|
"xresnet18": "11_vision.models.xresnet.ipynb",
|
|
"xresnet34": "11_vision.models.xresnet.ipynb",
|
|
"xresnet50": "11_vision.models.xresnet.ipynb",
|
|
"xresnet101": "11_vision.models.xresnet.ipynb",
|
|
"xresnet152": "11_vision.models.xresnet.ipynb",
|
|
"xresnet18_deep": "11_vision.models.xresnet.ipynb",
|
|
"xresnet34_deep": "11_vision.models.xresnet.ipynb",
|
|
"xresnet50_deep": "11_vision.models.xresnet.ipynb",
|
|
"xresnet18_deeper": "11_vision.models.xresnet.ipynb",
|
|
"xresnet34_deeper": "11_vision.models.xresnet.ipynb",
|
|
"xresnet50_deeper": "11_vision.models.xresnet.ipynb",
|
|
"se_kwargs1": "11_vision.models.xresnet.ipynb",
|
|
"se_kwargs2": "11_vision.models.xresnet.ipynb",
|
|
"se_kwargs3": "11_vision.models.xresnet.ipynb",
|
|
"g0": "11_vision.models.xresnet.ipynb",
|
|
"g1": "11_vision.models.xresnet.ipynb",
|
|
"g2": "11_vision.models.xresnet.ipynb",
|
|
"g3": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnet18": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnext18": "11_vision.models.xresnet.ipynb",
|
|
"xresnext18": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnet34": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnext34": "11_vision.models.xresnet.ipynb",
|
|
"xresnext34": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnet50": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnext50": "11_vision.models.xresnet.ipynb",
|
|
"xresnext50": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnet101": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnext101": "11_vision.models.xresnet.ipynb",
|
|
"xresnext101": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnet152": "11_vision.models.xresnet.ipynb",
|
|
"xsenet154": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnext18_deep": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnext34_deep": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnext50_deep": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnext18_deeper": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnext34_deeper": "11_vision.models.xresnet.ipynb",
|
|
"xse_resnext50_deeper": "11_vision.models.xresnet.ipynb",
|
|
"Optimizer": "12_optimizer.ipynb",
|
|
"sgd_step": "12_optimizer.ipynb",
|
|
"weight_decay": "12_optimizer.ipynb",
|
|
"weight_decay.defaults": "12_optimizer.ipynb",
|
|
"l2_reg": "12_optimizer.ipynb",
|
|
"l2_reg.defaults": "12_optimizer.ipynb",
|
|
"average_grad": "12_optimizer.ipynb",
|
|
"average_grad.defaults": "12_optimizer.ipynb",
|
|
"average_sqr_grad": "12_optimizer.ipynb",
|
|
"average_sqr_grad.defaults": "12_optimizer.ipynb",
|
|
"momentum_step": "12_optimizer.ipynb",
|
|
"SGD": "12_optimizer.ipynb",
|
|
"rms_prop_step": "12_optimizer.ipynb",
|
|
"rms_prop_step.defaults": "12_optimizer.ipynb",
|
|
"RMSProp": "12_optimizer.ipynb",
|
|
"step_stat": "12_optimizer.ipynb",
|
|
"debias": "12_optimizer.ipynb",
|
|
"adam_step": "12_optimizer.ipynb",
|
|
"Adam": "12_optimizer.ipynb",
|
|
"radam_step": "12_optimizer.ipynb",
|
|
"RAdam": "12_optimizer.ipynb",
|
|
"qhadam_step": "12_optimizer.ipynb",
|
|
"QHAdam": "12_optimizer.ipynb",
|
|
"larc_layer_lr": "12_optimizer.ipynb",
|
|
"larc_layer_lr.defaults": "12_optimizer.ipynb",
|
|
"larc_step": "12_optimizer.ipynb",
|
|
"Larc": "12_optimizer.ipynb",
|
|
"lamb_step": "12_optimizer.ipynb",
|
|
"Lamb": "12_optimizer.ipynb",
|
|
"Lookahead": "12_optimizer.ipynb",
|
|
"ranger": "12_optimizer.ipynb",
|
|
"detuplify_pg": "12_optimizer.ipynb",
|
|
"set_item_pg": "12_optimizer.ipynb",
|
|
"pytorch_hp_map": "12_optimizer.ipynb",
|
|
"OptimWrapper": "12_optimizer.ipynb",
|
|
"Callback": "13_callback.core.ipynb",
|
|
"TrainEvalCallback": "13_callback.core.ipynb",
|
|
"GatherPredsCallback": "13_callback.core.ipynb",
|
|
"FetchPredsCallback": "13_callback.core.ipynb",
|
|
"defaults.lr": "13a_learner.ipynb",
|
|
"replacing_yield": "13a_learner.ipynb",
|
|
"mk_metric": "13a_learner.ipynb",
|
|
"save_model": "13a_learner.ipynb",
|
|
"load_model": "13a_learner.ipynb",
|
|
"SkipToEpoch": "13a_learner.ipynb",
|
|
"Learner": "13a_learner.ipynb",
|
|
"before_batch_cb": "13a_learner.ipynb",
|
|
"Learner.save": "13a_learner.ipynb",
|
|
"Learner.load": "13a_learner.ipynb",
|
|
"Learner.export": "13a_learner.ipynb",
|
|
"load_learner": "13a_learner.ipynb",
|
|
"Metric": "13a_learner.ipynb",
|
|
"AvgMetric": "13a_learner.ipynb",
|
|
"AvgLoss": "13a_learner.ipynb",
|
|
"AvgSmoothLoss": "13a_learner.ipynb",
|
|
"ValueMetric": "13a_learner.ipynb",
|
|
"Recorder": "13a_learner.ipynb",
|
|
"CastToTensor": "13a_learner.ipynb",
|
|
"Learner.freeze_to": "13a_learner.ipynb",
|
|
"Learner.freeze": "13a_learner.ipynb",
|
|
"Learner.unfreeze": "13a_learner.ipynb",
|
|
"Learner.tta": "13a_learner.ipynb",
|
|
"flatten_check": "13b_metrics.ipynb",
|
|
"AccumMetric": "13b_metrics.ipynb",
|
|
"skm_to_fastai": "13b_metrics.ipynb",
|
|
"optim_metric": "13b_metrics.ipynb",
|
|
"accuracy": "13b_metrics.ipynb",
|
|
"error_rate": "13b_metrics.ipynb",
|
|
"top_k_accuracy": "13b_metrics.ipynb",
|
|
"APScoreBinary": "13b_metrics.ipynb",
|
|
"BalancedAccuracy": "13b_metrics.ipynb",
|
|
"BrierScore": "13b_metrics.ipynb",
|
|
"CohenKappa": "13b_metrics.ipynb",
|
|
"F1Score": "13b_metrics.ipynb",
|
|
"FBeta": "13b_metrics.ipynb",
|
|
"HammingLoss": "13b_metrics.ipynb",
|
|
"Jaccard": "13b_metrics.ipynb",
|
|
"Precision": "13b_metrics.ipynb",
|
|
"Recall": "13b_metrics.ipynb",
|
|
"RocAuc": "13b_metrics.ipynb",
|
|
"RocAucBinary": "13b_metrics.ipynb",
|
|
"MatthewsCorrCoef": "13b_metrics.ipynb",
|
|
"accuracy_multi": "13b_metrics.ipynb",
|
|
"APScoreMulti": "13b_metrics.ipynb",
|
|
"BrierScoreMulti": "13b_metrics.ipynb",
|
|
"F1ScoreMulti": "13b_metrics.ipynb",
|
|
"FBetaMulti": "13b_metrics.ipynb",
|
|
"HammingLossMulti": "13b_metrics.ipynb",
|
|
"JaccardMulti": "13b_metrics.ipynb",
|
|
"MatthewsCorrCoefMulti": "13b_metrics.ipynb",
|
|
"PrecisionMulti": "13b_metrics.ipynb",
|
|
"RecallMulti": "13b_metrics.ipynb",
|
|
"RocAucMulti": "13b_metrics.ipynb",
|
|
"mse": "13b_metrics.ipynb",
|
|
"rmse": "13b_metrics.ipynb",
|
|
"rmse.__doc__": "13b_metrics.ipynb",
|
|
"mae": "13b_metrics.ipynb",
|
|
"msle": "13b_metrics.ipynb",
|
|
"exp_rmspe": "13b_metrics.ipynb",
|
|
"exp_rmspe.__doc__": "13b_metrics.ipynb",
|
|
"ExplainedVariance": "13b_metrics.ipynb",
|
|
"R2Score": "13b_metrics.ipynb",
|
|
"PearsonCorrCoef": "13b_metrics.ipynb",
|
|
"SpearmanCorrCoef": "13b_metrics.ipynb",
|
|
"foreground_acc": "13b_metrics.ipynb",
|
|
"Dice": "13b_metrics.ipynb",
|
|
"DiceMulti": "13b_metrics.ipynb",
|
|
"JaccardCoeff": "13b_metrics.ipynb",
|
|
"CorpusBLEUMetric": "13b_metrics.ipynb",
|
|
"Perplexity": "13b_metrics.ipynb",
|
|
"perplexity": "13b_metrics.ipynb",
|
|
"LossMetric": "13b_metrics.ipynb",
|
|
"LossMetrics": "13b_metrics.ipynb",
|
|
"annealer": "14_callback.schedule.ipynb",
|
|
"sched_lin": "14_callback.schedule.ipynb",
|
|
"sched_cos": "14_callback.schedule.ipynb",
|
|
"sched_no": "14_callback.schedule.ipynb",
|
|
"sched_exp": "14_callback.schedule.ipynb",
|
|
"SchedLin": "14_callback.schedule.ipynb",
|
|
"SchedCos": "14_callback.schedule.ipynb",
|
|
"SchedNo": "14_callback.schedule.ipynb",
|
|
"SchedExp": "14_callback.schedule.ipynb",
|
|
"SchedLin.__doc__": "14_callback.schedule.ipynb",
|
|
"SchedCos.__doc__": "14_callback.schedule.ipynb",
|
|
"SchedExp.__doc__": "14_callback.schedule.ipynb",
|
|
"SchedPoly": "14_callback.schedule.ipynb",
|
|
"combine_scheds": "14_callback.schedule.ipynb",
|
|
"combined_cos": "14_callback.schedule.ipynb",
|
|
"ParamScheduler": "14_callback.schedule.ipynb",
|
|
"Learner.fit_one_cycle": "14_callback.schedule.ipynb",
|
|
"Recorder.plot_sched": "14_callback.schedule.ipynb",
|
|
"Learner.fit_flat_cos": "14_callback.schedule.ipynb",
|
|
"Learner.fit_sgdr": "14_callback.schedule.ipynb",
|
|
"Learner.fine_tune": "14_callback.schedule.ipynb",
|
|
"LRFinder": "14_callback.schedule.ipynb",
|
|
"valley": "14_callback.schedule.ipynb",
|
|
"slide": "14_callback.schedule.ipynb",
|
|
"minimum": "14_callback.schedule.ipynb",
|
|
"steep": "14_callback.schedule.ipynb",
|
|
"Recorder.plot_lr_find": "14_callback.schedule.ipynb",
|
|
"Learner.lr_find": "14_callback.schedule.ipynb",
|
|
"CollectDataCallback": "14a_callback.data.ipynb",
|
|
"WeightedDL": "14a_callback.data.ipynb",
|
|
"Datasets.weighted_dataloaders": "14a_callback.data.ipynb",
|
|
"DataBlock.weighted_dataloaders": "14a_callback.data.ipynb",
|
|
"PartialDL": "14a_callback.data.ipynb",
|
|
"FilteredBase.partial_dataloaders": "14a_callback.data.ipynb",
|
|
"Hook": "15_callback.hook.ipynb",
|
|
"hook_output": "15_callback.hook.ipynb",
|
|
"Hooks": "15_callback.hook.ipynb",
|
|
"hook_outputs": "15_callback.hook.ipynb",
|
|
"dummy_eval": "15_callback.hook.ipynb",
|
|
"model_sizes": "15_callback.hook.ipynb",
|
|
"num_features_model": "15_callback.hook.ipynb",
|
|
"has_params": "15_callback.hook.ipynb",
|
|
"HookCallback": "15_callback.hook.ipynb",
|
|
"total_params": "15_callback.hook.ipynb",
|
|
"layer_info": "15_callback.hook.ipynb",
|
|
"module_summary": "15_callback.hook.ipynb",
|
|
"Learner.summary": "15_callback.hook.ipynb",
|
|
"ActivationStats": "15_callback.hook.ipynb",
|
|
"UnetBlock": "15a_vision.models.unet.ipynb",
|
|
"ResizeToOrig": "15a_vision.models.unet.ipynb",
|
|
"DynamicUnet": "15a_vision.models.unet.ipynb",
|
|
"ProgressCallback": "16_callback.progress.ipynb",
|
|
"Learner.no_bar": "16_callback.progress.ipynb",
|
|
"ShowGraphCallback": "16_callback.progress.ipynb",
|
|
"CSVLogger": "16_callback.progress.ipynb",
|
|
"TerminateOnNaNCallback": "17_callback.tracker.ipynb",
|
|
"TrackerCallback": "17_callback.tracker.ipynb",
|
|
"EarlyStoppingCallback": "17_callback.tracker.ipynb",
|
|
"SaveModelCallback": "17_callback.tracker.ipynb",
|
|
"ReduceLROnPlateau": "17_callback.tracker.ipynb",
|
|
"MixedPrecision": "18_callback.fp16.ipynb",
|
|
"FP16TestCallback": "18_callback.fp16.ipynb",
|
|
"Learner.to_fp16": "18_callback.fp16.ipynb",
|
|
"Learner.to_fp32": "18_callback.fp16.ipynb",
|
|
"get_master": "18_callback.fp16.ipynb",
|
|
"to_master_grads": "18_callback.fp16.ipynb",
|
|
"to_model_params": "18_callback.fp16.ipynb",
|
|
"test_overflow": "18_callback.fp16.ipynb",
|
|
"grad_overflow": "18_callback.fp16.ipynb",
|
|
"copy_clone": "18_callback.fp16.ipynb",
|
|
"ModelToHalf": "18_callback.fp16.ipynb",
|
|
"NonNativeMixedPrecision": "18_callback.fp16.ipynb",
|
|
"Learner.to_non_native_fp16": "18_callback.fp16.ipynb",
|
|
"Learner.to_non_native_fp32": "18_callback.fp16.ipynb",
|
|
"ShortEpochCallback": "18a_callback.training.ipynb",
|
|
"GradientAccumulation": "18a_callback.training.ipynb",
|
|
"GradientClip": "18a_callback.training.ipynb",
|
|
"set_bn_eval": "18a_callback.training.ipynb",
|
|
"BnFreeze": "18a_callback.training.ipynb",
|
|
"bn_types": "18a_callback.training.ipynb",
|
|
"ChannelsLast": "18a_callback.training.ipynb",
|
|
"MCDropoutCallback": "18b_callback.preds.ipynb",
|
|
"reduce_loss": "19_callback.mixup.ipynb",
|
|
"MixHandler": "19_callback.mixup.ipynb",
|
|
"MixUp": "19_callback.mixup.ipynb",
|
|
"CutMix": "19_callback.mixup.ipynb",
|
|
"Interpretation": "20_interpret.ipynb",
|
|
"ClassificationInterpretation": "20_interpret.ipynb",
|
|
"SegmentationInterpretation": "20_interpret.ipynb",
|
|
"DataParallel.reset": "20a_distributed.ipynb",
|
|
"ParallelTrainer": "20a_distributed.ipynb",
|
|
"Learner.to_parallel": "20a_distributed.ipynb",
|
|
"Learner.detach_parallel": "20a_distributed.ipynb",
|
|
"Learner.parallel_ctx": "20a_distributed.ipynb",
|
|
"DistributedDataParallel.reset": "20a_distributed.ipynb",
|
|
"setup_distrib": "20a_distributed.ipynb",
|
|
"teardown_distrib": "20a_distributed.ipynb",
|
|
"DistributedDL": "20a_distributed.ipynb",
|
|
"DistributedTrainer": "20a_distributed.ipynb",
|
|
"Learner.to_distributed": "20a_distributed.ipynb",
|
|
"Learner.detach_distributed": "20a_distributed.ipynb",
|
|
"Learner.distrib_ctx": "20a_distributed.ipynb",
|
|
"rank0_first": "20a_distributed.ipynb",
|
|
"has_pool_type": "21_vision.learner.ipynb",
|
|
"cut_model": "21_vision.learner.ipynb",
|
|
"create_body": "21_vision.learner.ipynb",
|
|
"create_head": "21_vision.learner.ipynb",
|
|
"default_split": "21_vision.learner.ipynb",
|
|
"model_meta": "21_vision.learner.ipynb",
|
|
"add_head": "21_vision.learner.ipynb",
|
|
"create_vision_model": "21_vision.learner.ipynb",
|
|
"TimmBody": "21_vision.learner.ipynb",
|
|
"create_timm_model": "21_vision.learner.ipynb",
|
|
"vision_learner": "21_vision.learner.ipynb",
|
|
"create_unet_model": "21_vision.learner.ipynb",
|
|
"unet_learner": "21_vision.learner.ipynb",
|
|
"create_cnn_model": "21_vision.learner.ipynb",
|
|
"cnn_learner": "21_vision.learner.ipynb",
|
|
"GANModule": "24_vision.gan.ipynb",
|
|
"basic_critic": "24_vision.gan.ipynb",
|
|
"AddChannels": "24_vision.gan.ipynb",
|
|
"basic_generator": "24_vision.gan.ipynb",
|
|
"DenseResBlock": "24_vision.gan.ipynb",
|
|
"gan_critic": "24_vision.gan.ipynb",
|
|
"GANLoss": "24_vision.gan.ipynb",
|
|
"AdaptiveLoss": "24_vision.gan.ipynb",
|
|
"accuracy_thresh_expand": "24_vision.gan.ipynb",
|
|
"set_freeze_model": "24_vision.gan.ipynb",
|
|
"GANTrainer": "24_vision.gan.ipynb",
|
|
"FixedGANSwitcher": "24_vision.gan.ipynb",
|
|
"AdaptiveGANSwitcher": "24_vision.gan.ipynb",
|
|
"GANDiscriminativeLR": "24_vision.gan.ipynb",
|
|
"InvisibleTensor": "24_vision.gan.ipynb",
|
|
"generate_noise": "24_vision.gan.ipynb",
|
|
"gan_loss_from_func": "24_vision.gan.ipynb",
|
|
"GANLearner": "24_vision.gan.ipynb",
|
|
"GANLearner.from_learners": "24_vision.gan.ipynb",
|
|
"GANLearner.wgan": "24_vision.gan.ipynb",
|
|
"spec_add_spaces": "30_text.core.ipynb",
|
|
"rm_useless_spaces": "30_text.core.ipynb",
|
|
"replace_rep": "30_text.core.ipynb",
|
|
"replace_wrep": "30_text.core.ipynb",
|
|
"fix_html": "30_text.core.ipynb",
|
|
"replace_all_caps": "30_text.core.ipynb",
|
|
"replace_maj": "30_text.core.ipynb",
|
|
"lowercase": "30_text.core.ipynb",
|
|
"replace_space": "30_text.core.ipynb",
|
|
"defaults.text_spec_tok": "30_text.core.ipynb",
|
|
"defaults.text_proc_rules": "30_text.core.ipynb",
|
|
"defaults.text_postproc_rules": "30_text.core.ipynb",
|
|
"BaseTokenizer": "30_text.core.ipynb",
|
|
"SpacyTokenizer": "30_text.core.ipynb",
|
|
"WordTokenizer": "30_text.core.ipynb",
|
|
"TokenizeWithRules": "30_text.core.ipynb",
|
|
"tokenize1": "30_text.core.ipynb",
|
|
"parallel_tokenize": "30_text.core.ipynb",
|
|
"fn_counter_pkl": "30_text.core.ipynb",
|
|
"fn_lengths_pkl": "30_text.core.ipynb",
|
|
"tokenize_folder": "30_text.core.ipynb",
|
|
"tokenize_files": "30_text.core.ipynb",
|
|
"tokenize_texts": "30_text.core.ipynb",
|
|
"tokenize_df": "30_text.core.ipynb",
|
|
"tokenize_csv": "30_text.core.ipynb",
|
|
"load_tokenized_csv": "30_text.core.ipynb",
|
|
"Tokenizer": "30_text.core.ipynb",
|
|
"eu_langs": "30_text.core.ipynb",
|
|
"SentencePieceTokenizer": "30_text.core.ipynb",
|
|
"SubwordTokenizer": "30_text.core.ipynb",
|
|
"reverse_text": "31_text.data.ipynb",
|
|
"make_vocab": "31_text.data.ipynb",
|
|
"TensorText": "31_text.data.ipynb",
|
|
"LMTensorText": "31_text.data.ipynb",
|
|
"TensorText.__doc__": "31_text.data.ipynb",
|
|
"LMTensorText.__doc__": "31_text.data.ipynb",
|
|
"Numericalize": "31_text.data.ipynb",
|
|
"LMDataLoader": "31_text.data.ipynb",
|
|
"Pad_Input": "31_text.data.ipynb",
|
|
"pad_input": "31_text.data.ipynb",
|
|
"pad_chunk": "31_text.data.ipynb",
|
|
"pad_input_chunk": "31_text.data.ipynb",
|
|
"Pad_Chunk": "31_text.data.ipynb",
|
|
"SortedDL": "31_text.data.ipynb",
|
|
"TextBlock": "31_text.data.ipynb",
|
|
"TextDataLoaders": "31_text.data.ipynb",
|
|
"TextDataLoaders.from_csv": "31_text.data.ipynb",
|
|
"dropout_mask": "32_text.models.awdlstm.ipynb",
|
|
"RNNDropout": "32_text.models.awdlstm.ipynb",
|
|
"WeightDropout": "32_text.models.awdlstm.ipynb",
|
|
"EmbeddingDropout": "32_text.models.awdlstm.ipynb",
|
|
"AWD_LSTM": "32_text.models.awdlstm.ipynb",
|
|
"awd_lstm_lm_split": "32_text.models.awdlstm.ipynb",
|
|
"awd_lstm_lm_config": "32_text.models.awdlstm.ipynb",
|
|
"awd_lstm_clas_split": "32_text.models.awdlstm.ipynb",
|
|
"awd_lstm_clas_config": "32_text.models.awdlstm.ipynb",
|
|
"LinearDecoder": "33_text.models.core.ipynb",
|
|
"SequentialRNN": "33_text.models.core.ipynb",
|
|
"get_language_model": "33_text.models.core.ipynb",
|
|
"SentenceEncoder": "33_text.models.core.ipynb",
|
|
"masked_concat_pool": "33_text.models.core.ipynb",
|
|
"PoolingLinearClassifier": "33_text.models.core.ipynb",
|
|
"get_text_classifier": "33_text.models.core.ipynb",
|
|
"ModelResetter": "34_callback.rnn.ipynb",
|
|
"RNNCallback": "34_callback.rnn.ipynb",
|
|
"RNNRegularizer": "34_callback.rnn.ipynb",
|
|
"rnn_cbs": "34_callback.rnn.ipynb",
|
|
"match_embeds": "37_text.learner.ipynb",
|
|
"load_ignore_keys": "37_text.learner.ipynb",
|
|
"clean_raw_keys": "37_text.learner.ipynb",
|
|
"load_model_text": "37_text.learner.ipynb",
|
|
"TextLearner": "37_text.learner.ipynb",
|
|
"decode_spec_tokens": "37_text.learner.ipynb",
|
|
"LMLearner": "37_text.learner.ipynb",
|
|
"language_model_learner": "37_text.learner.ipynb",
|
|
"text_classifier_learner": "37_text.learner.ipynb",
|
|
"make_date": "40_tabular.core.ipynb",
|
|
"add_datepart": "40_tabular.core.ipynb",
|
|
"add_elapsed_times": "40_tabular.core.ipynb",
|
|
"cont_cat_split": "40_tabular.core.ipynb",
|
|
"df_shrink_dtypes": "40_tabular.core.ipynb",
|
|
"df_shrink": "40_tabular.core.ipynb",
|
|
"Tabular": "40_tabular.core.ipynb",
|
|
"TabularPandas": "40_tabular.core.ipynb",
|
|
"TabularProc": "40_tabular.core.ipynb",
|
|
"Categorify": "40_tabular.core.ipynb",
|
|
"setups": "40_tabular.core.ipynb",
|
|
"FillStrategy": "40_tabular.core.ipynb",
|
|
"FillMissing": "40_tabular.core.ipynb",
|
|
"ReadTabBatch": "40_tabular.core.ipynb",
|
|
"TabDataLoader": "40_tabular.core.ipynb",
|
|
"TabularDataLoaders": "41_tabular.data.ipynb",
|
|
"TabularDataLoaders.from_csv": "41_tabular.data.ipynb",
|
|
"emb_sz_rule": "42_tabular.model.ipynb",
|
|
"get_emb_sz": "42_tabular.model.ipynb",
|
|
"TabularModel": "42_tabular.model.ipynb",
|
|
"tabular_config": "42_tabular.model.ipynb",
|
|
"TabularLearner": "43_tabular.learner.ipynb",
|
|
"tabular_learner": "43_tabular.learner.ipynb",
|
|
"TabularCollab": "45_collab.ipynb",
|
|
"CollabDataLoaders": "45_collab.ipynb",
|
|
"CollabDataLoaders.from_csv": "45_collab.ipynb",
|
|
"EmbeddingDotBias": "45_collab.ipynb",
|
|
"EmbeddingNN": "45_collab.ipynb",
|
|
"collab_learner": "45_collab.ipynb",
|
|
"get_dicom_files": "60_medical.imaging.ipynb",
|
|
"Path.dcmread": "60_medical.imaging.ipynb",
|
|
"TensorDicom": "60_medical.imaging.ipynb",
|
|
"PILDicom": "60_medical.imaging.ipynb",
|
|
"Path.png16read": "60_medical.imaging.ipynb",
|
|
"pixels": "60_medical.imaging.ipynb",
|
|
"scaled_px": "60_medical.imaging.ipynb",
|
|
"array_freqhist_bins": "60_medical.imaging.ipynb",
|
|
"Tensor.freqhist_bins": "60_medical.imaging.ipynb",
|
|
"Tensor.hist_scaled_pt": "60_medical.imaging.ipynb",
|
|
"Tensor.hist_scaled": "60_medical.imaging.ipynb",
|
|
"DcmDataset.hist_scaled": "60_medical.imaging.ipynb",
|
|
"Tensor.windowed": "60_medical.imaging.ipynb",
|
|
"DcmDataset.windowed": "60_medical.imaging.ipynb",
|
|
"dicom_windows": "60_medical.imaging.ipynb",
|
|
"TensorCTScan": "60_medical.imaging.ipynb",
|
|
"PILCTScan": "60_medical.imaging.ipynb",
|
|
"DcmDataset.show": "60_medical.imaging.ipynb",
|
|
"DcmDataset.pct_in_window": "60_medical.imaging.ipynb",
|
|
"uniform_blur2d": "60_medical.imaging.ipynb",
|
|
"gauss_blur2d": "60_medical.imaging.ipynb",
|
|
"Tensor.mask_from_blur": "60_medical.imaging.ipynb",
|
|
"DcmDataset.mask_from_blur": "60_medical.imaging.ipynb",
|
|
"mask2bbox": "60_medical.imaging.ipynb",
|
|
"crop_resize": "60_medical.imaging.ipynb",
|
|
"Tensor.to_nchan": "60_medical.imaging.ipynb",
|
|
"DcmDataset.to_nchan": "60_medical.imaging.ipynb",
|
|
"Tensor.to_3chan": "60_medical.imaging.ipynb",
|
|
"DcmDataset.to_3chan": "60_medical.imaging.ipynb",
|
|
"Tensor.save_jpg": "60_medical.imaging.ipynb",
|
|
"DcmDataset.save_jpg": "60_medical.imaging.ipynb",
|
|
"Tensor.to_uint16": "60_medical.imaging.ipynb",
|
|
"DcmDataset.to_uint16": "60_medical.imaging.ipynb",
|
|
"Tensor.save_tif16": "60_medical.imaging.ipynb",
|
|
"DcmDataset.save_tif16": "60_medical.imaging.ipynb",
|
|
"DcmDataset.set_pixels": "60_medical.imaging.ipynb",
|
|
"DcmDataset.pixel_array": "60_medical.imaging.ipynb",
|
|
"DcmDataset.zoom": "60_medical.imaging.ipynb",
|
|
"DcmDataset.zoom_to": "60_medical.imaging.ipynb",
|
|
"DcmDataset.as_dict": "60_medical.imaging.ipynb",
|
|
"pd.DataFrame.from_dicoms": "60_medical.imaging.ipynb",
|
|
"DicomSegmentationDataLoaders": "60_medical.imaging.ipynb",
|
|
"WandbCallback": "70_callback.wandb.ipynb",
|
|
"Learner.gather_args": "70_callback.wandb.ipynb",
|
|
"log_dataset": "70_callback.wandb.ipynb",
|
|
"log_model": "70_callback.wandb.ipynb",
|
|
"TensorBoardBaseCallback": "70a_callback.tensorboard.ipynb",
|
|
"TensorBoardCallback": "70a_callback.tensorboard.ipynb",
|
|
"TensorBoardProjectorCallback": "70a_callback.tensorboard.ipynb",
|
|
"projector_word_embeddings": "70a_callback.tensorboard.ipynb",
|
|
"NeptuneCallback": "70b_callback.neptune.ipynb",
|
|
"json_clean": "70c_callback.captum.ipynb",
|
|
"jsonutil.json_clean": "70c_callback.captum.ipynb",
|
|
"CaptumInterpretation": "70c_callback.captum.ipynb",
|
|
"CaptumInterpretation.insights": "70c_callback.captum.ipynb",
|
|
"CometCallback": "70d_callback.comet.ipynb",
|
|
"synth_dbunch": "97_test_utils.ipynb",
|
|
"RegModel": "97_test_utils.ipynb",
|
|
"synth_learner": "97_test_utils.ipynb",
|
|
"VerboseCallback": "97_test_utils.ipynb",
|
|
"get_env": "97_test_utils.ipynb",
|
|
"try_import": "97_test_utils.ipynb",
|
|
"nvidia_smi": "97_test_utils.ipynb",
|
|
"nvidia_mem": "97_test_utils.ipynb",
|
|
"show_install": "97_test_utils.ipynb",
|
|
"PYTORCH_URL": "99_pytorch_doc.ipynb",
|
|
"pytorch_doc_link": "99_pytorch_doc.ipynb"}
|
|
|
|
modules = ["torch_core.py",
|
|
"layers.py",
|
|
"losses.py",
|
|
"data/load.py",
|
|
"data/core.py",
|
|
"data/external.py",
|
|
"data/transforms.py",
|
|
"data/block.py",
|
|
"vision/core.py",
|
|
"vision/data.py",
|
|
"vision/augment.py",
|
|
"vision/utils.py",
|
|
"vision/widgets.py",
|
|
"vision/models/xresnet.py",
|
|
"optimizer.py",
|
|
"callback/core.py",
|
|
"learner.py",
|
|
"metrics.py",
|
|
"callback/schedule.py",
|
|
"callback/data.py",
|
|
"callback/hook.py",
|
|
"vision/models/unet.py",
|
|
"callback/progress.py",
|
|
"callback/tracker.py",
|
|
"callback/fp16.py",
|
|
"callback/training.py",
|
|
"callback/preds.py",
|
|
"callback/mixup.py",
|
|
"interpret.py",
|
|
"distributed.py",
|
|
"vision/learner.py",
|
|
"vision/gan.py",
|
|
"text/core.py",
|
|
"text/data.py",
|
|
"text/models/awdlstm.py",
|
|
"text/models/core.py",
|
|
"callback/rnn.py",
|
|
"text/learner.py",
|
|
"tabular/core.py",
|
|
"tabular/data.py",
|
|
"tabular/model.py",
|
|
"tabular/learner.py",
|
|
"collab.py",
|
|
"medical/imaging.py",
|
|
"medical/text.py",
|
|
"callback/wandb.py",
|
|
"callback/tensorboard.py",
|
|
"callback/neptune.py",
|
|
"callback/captum.py",
|
|
"callback/comet.py",
|
|
"test_utils.py",
|
|
"_pytorch_doc.py"]
|
|
|
|
doc_url = "https://docs.fast.ai/"
|
|
|
|
git_url = "https://github.com/fastai/fastai/tree/master/"
|
|
|
|
def custom_doc_links(name):
|
|
from nbdev.showdoc import try_external_doc_link
|
|
return try_external_doc_link(name, ['fastcore', 'nbdev'])
|
|
|