Function reference • fastai

All functions
`APScoreBinary()`	APScoreBinary
`APScoreMulti()`	APScoreMulti
`AWD_LSTM()`	AWD_LSTM
`AWD_QRNN()`	AWD_QRNN
`AccumMetric()`	AccumMetric
`Adam()`	Adam
`AdaptiveAvgPool()`	AdaptiveAvgPool
`AdaptiveConcatPool1d()`	AdaptiveConcatPool1d
`AdaptiveConcatPool2d()`	AdaptiveConcatPool2d
`AdaptiveGANSwitcher()`	Adaptive GAN Switcher
`AdaptiveLoss()`	AdaptiveLoss
`AddChannels()`	Add Channels
`AddNoise()`	Add Noise
`AffineCoordTfm()`	AffineCoordTfm
`AudioBlock()`	AudioBlock
`AudioBlock_from_folder()`	AudioBlock from folder
`AudioGetter()`	AudioGetter
`AudioPadType()`	AudioPadType module
`AudioSpectrogram()`	AudioSpectrogram module
`AudioTensor()`	Audio Tensor
`AudioTensor_create()`	AudioTensor create
`AudioToMFCC()`	AudioToMFCC
`AudioToMFCC_from_cfg()`	AudioToMFCC from cfg
`AudioToSpec_from_cfg()`	AudioToSpec from cfg
`AutoConfig()`	Auto configuration
`AvgLoss()`	AvgLoss
`AvgPool()`	AvgPool
`AvgSmoothLoss()`	AvgSmoothLoss
`BBoxBlock()`	BBoxBlock
`BBoxLabeler()`	BBoxLabeler
`BBoxLblBlock()`	BBoxLblBlock
`BCELossFlat()`	BCELossFlat
`BCEWithLogitsLossFlat()`	BCEWithLogitsLossFlat
`BalancedAccuracy()`	BalancedAccuracy
`BaseLoss()`	BaseLoss
`BaseTokenizer()`	BaseTokenizer
`BasicMFCC()`	Basic MFCC
`BasicMelSpectrogram()`	BasicMelSpectrogram
`BasicSpectrogram()`	BasicSpectrogram
`BatchNorm()`	BatchNorm
`BatchNorm1dFlat()`	BatchNorm1dFlat
`BrierScore()`	BrierScore
`BrierScoreMulti()`	BrierScoreMulti
`COCOMetric()`	COCOMetric
`COCOMetricType()`	COCOMetricType
`CSVLogger()`	CSVLogger
`Callback()`	Callback module
`Cat()`	Cat
`Categorify()`	Categorify
`CategoryBlock()`	CategoryBlock
`ChangeVolume()`	Change Volume
`ClassificationInterpretation_from_learner()`	ClassificationInterpretation_from_learner
`CohenKappa()`	CohenKappa
`ColReader()`	ColReader
`ColSplitter()`	ColSplitter
`CollabDataLoaders_from_dblock()`	CollabDataLoaders_from_dblock
`CollabDataLoaders_from_df()`	CollabDataLoaders_from_df
`CollectDataCallback()` `CollectDataCallback()`	CollectDataCallback
`Contrast()`	Contrast
`ConvLayer()`	ConvLayer
`CorpusBLEUMetric()`	CorpusBLEUMetric
`CropPad()`	CropPad
`CropTime()`	Crop Time
`CrossEntropyLossFlat()`	CrossEntropyLossFlat
`CudaCallback()`	CudaCallback
`CutMix()`	CutMix
`CycleGAN()`	CycleGAN
`CycleGANLoss()`	CycleGANLoss
`CycleGANTrainer()`	CycleGANTrainer
`DataBlock()`	DataBlock
`Data_Loaders()`	Data Loaders
`Datasets()`	Datasets
`Debugger()`	Debugger
`Delta()`	Delta
`DenseResBlock()`	Dense Res Block
`DeterministicDihedral()`	DeterministicDihedral
`DeterministicDraw()`	DeterministicDraw
`DeterministicFlip()`	DeterministicFlip
`Dice()`	Dice coefficient
`Dicom()`	Dicom class
`Dihedral()` `Dihedral()`	Dihedral
`DihedralItem()`	DihedralItem
`DownmixMono()`	Downmix Mono
`DynamicUnet()`	DynamicUnet
`EarlyStoppingCallback()`	EarlyStoppingCallback
`Embedding()`	Embedding
`EmbeddingDropout()`	EmbeddingDropout
`ExplainedVariance()`	Explained Variance
`F1Score()`	F1Score
`F1ScoreMulti()`	F1ScoreMulti
`FBeta()`	FBeta
`FBetaMulti()`	FBetaMulti
`FetchPredsCallback()`	FetchPredsCallback
`FileSplitter()`	File Splitter
`FillMissing()`	Fill Missing
`FillStrategy_COMMON()`	COMMON
`FillStrategy_CONSTANT()`	CONSTANT
`FillStrategy_MEDIAN()`	MEDIAN
`FixedGANSwitcher()`	Fixed GAN Switcher
`Flatten()`	Flatten
`Flip()`	Flip
`FlipItem()`	FlipItem
`FolderDataset()`	FolderDataset
`ForgetMultGPU()`	ForgetMultGPU
`FuncSplitter()`	FuncSplitter
`GANDiscriminativeLR()`	GAN Discriminative LR
`GANLearner_from_learners()`	GAN Learner from learners
`GANLearner_wgan()`	Wgan
`GANLoss()`	GAN Loss
`GANModule()`	GAN Module
`GANTrainer()`	GAN Trainer
`GatherPredsCallback()`	GatherPredsCallback
`GradientAccumulation()`	GradientAccumulation
`GrandparentSplitter()`	GrandparentSplitter
`HF_ARCHITECTURES()`	HF_ARCHITECTURES
`HF_BaseInput()`	HF_BaseInput
`HF_BaseModelCallback()`	HF_BaseModelCallback
`HF_BaseModelWrapper()`	HF_BaseModelWrapper
`HF_BeforeBatchTransform()`	HF_BeforeBatchTransform
`HF_CausalLMBeforeBatchTransform()`	HF_CausalLMBeforeBatchTransform
`HF_QABatchTransform()`	HF_QABatchTransform
`HF_QABeforeBatchTransform()`	HF_QABeforeBatchTransform
`HF_QstAndAnsModelCallback()`	HF_QstAndAnsModelCallback
`HF_QuestionAnswerInput()`	HF_QuestionAnswerInput
`HF_SummarizationBeforeBatchTransform()`	HF_SummarizationBeforeBatchTransform
`HF_SummarizationInput()`	HF_SummarizationInput
`HF_SummarizationModelCallback()`	HF_SummarizationModelCallback
`HF_TASKS_ALL()`	HF_TASKS_ALL
`HF_TASKS_AUTO()`	HF_TASKS_AUTO
`HF_Text2TextAfterBatchTransform()`	HF_Text2TextAfterBatchTransform
`HF_Text2TextBlock()`	HF_Text2TextBlock
`HF_TextBlock()`	HF_TextBlock
`HF_TokenCategorize()`	HF_TokenCategorize
`HF_TokenCategoryBlock()`	HF_TokenCategoryBlock
`HF_TokenClassBeforeBatchTransform()`	HF_TokenClassBeforeBatchTransform
`HF_TokenClassInput()`	HF_TokenClassInput
`HF_TokenTensorCategory()`	HF_TokenTensorCategory
`HF_load_dataset()`	Load_dataset
`HammingLoss()` `HammingLoss()`	HammingLoss
`HammingLossMulti()`	HammingLossMulti
`Hook()`	Hook
`HookCallback()` `HookCallback()`	HookCallback
`Hooks()`	Hooks
`Hue()`	Hue
`IDMap()`	IDMap
`Image()`	Image
`ImageBW_create()`	ImageBW_create
`ImageBlock()`	ImageBlock
`ImageDataLoaders_from_csv()`	ImageDataLoaders from csv
`ImageDataLoaders_from_dblock()`	ImageDataLoaders from dblock
`ImageDataLoaders_from_df()`	ImageDataLoaders from df
`ImageDataLoaders_from_folder()`	ImageDataLoaders from folder
`ImageDataLoaders_from_lists()`	ImageDataLoaders from lists
`ImageDataLoaders_from_name_re()`	ImageDataLoaders from name regex
`ImageDataLoaders_from_path_func()`	ImageDataLoaders from path function
`ImageDataLoaders_from_path_re()`	ImageDataLoaders from path re
`Image_create()`	Image_create
`Image_open()`	Image_open
`Image_resize()`	Resize
`InceptionModule()`	InceptionModule
`IndexSplitter()`	Index Splitter
`InstanceNorm()`	InstanceNorm
`IntToFloatTensor()`	IntToFloatTensor
`InvisibleTensor()`	Invisible Tensor
`Jaccard()`	Jaccard
`JaccardCoeff()`	JaccardCoeff
`JaccardMulti()`	JaccardMulti
`L()`	L
`L1LossFlat()`	L1LossFlat
`LMDataLoader()`	LMDataLoader
`LMLearner()` `LMLearner()`	LMLearner
`LMLearner_predict()`	LMLearner_predict
`LabelSmoothingCrossEntropy()`	LabelSmoothingCrossEntropy
`LabelSmoothingCrossEntropyFlat()`	LabelSmoothingCrossEntropyFlat
`LabeledBBox()`	LabeledBBox
`Lamb()`	Lamb
`Lambda()`	Lambda
`Larc()`	Larc
`Learner()`	Learner
`LightingTfm()`	LightingTfm
`LinBnDrop()`	LinBnDrop
`LinearDecoder()`	LinearDecoder
`LitModel()`	Lit Model
`Lookahead()`	Lookahead
`LossMetric()`	LossMetric
`MCDropoutCallback()`	MCDropoutCallback
`MSELossFlat()`	MSELossFlat
`MaskBlock()`	MaskBlock
`MaskFreq()`	Mask Freq
`MaskTime()`	MaskTime
`Mask_create()`	Mask_create
`MatthewsCorrCoef()`	MatthewsCorrCoef
`MatthewsCorrCoefMulti()`	MatthewsCorrCoefMulti
`MaxPool()`	MaxPool
`MergeLayer()`	MergeLayer
`MishJitAutoFn()`	MishJitAutoFn
`Mish_()`	Class Mish
`MixHandler()`	MixHandler
`MixUp()`	MixUp
`ModelResetter()`	ModelResetter
`Module()`	Module module
`Module_test()`	NN module
`MultiCategorize()`	MultiCategorize
`MultiCategoryBlock()`	MultiCategoryBlock
`MultiTargetLoss()`	MultiTargetLoss
`Net()`	Net
`NoiseColor()`	NoiseColor module
`NoneReduce()`	NoneReduce
`Normalize()`	Normalize
`NormalizeTS()`	NormalizeTS
`Normalize_from_stats()`	Normalize from stats
`Numericalize()`	Numericalize
`OldRandomCrop()`	OldRandomCrop
`OpenAudio()`	OpenAudio
`OptimWrapper()`	OptimWrapper
`Optimizer()`	Optimizer
`ParamScheduler()`	ParamScheduler
`PartialDL()`	PartialDL
`PartialLambda()`	Partial Lambda
`PearsonCorrCoef()`	PearsonCorrCoef
`Perplexity()`	Perplexity
`Pipeline()`	Pipeline
`PixelShuffle_ICNR()`	PixelShuffle_ICNR
`PointBlock()`	PointBlock
`PointScaler()`	PointScaler
`PoolFlatten()`	PoolFlatten
`PooledSelfAttention2d()`	PooledSelfAttention2d
`PoolingLinearClassifier()`	PoolingLinearClassifier
`Precision()`	Precision
`PrecisionMulti()`	PrecisionMulti
`PreprocessAudio()`	Preprocess Audio
`QHAdam()`	QHAdam
`QRNN()`	QRNN
`QRNNLayer()`	QRNNLayer
`R2Score()`	R2Score
`RAdam()`	RAdam
`RMSProp()`	RMSProp
`RNNDropout()`	RNNDropout
`RNNRegularizer()`	RNNRegularizer
`RandPair()`	RandPair
`RandTransform()`	RandTransform
`RandomCrop()`	RandomCrop
`RandomErasing()`	RandomErasing
`RandomResizedCrop()`	RandomResizedCrop
`RandomResizedCropGPU()`	RandomResizedCropGPU
`RandomSplitter()`	RandomSplitter
`RatioResize()`	RatioResize
`ReadTSBatch()`	ReadTSBatch
`Recall()`	Recall
`RecallMulti()`	RecallMulti
`ReduceLROnPlateau()`	ReduceLROnPlateau
`RegressionBlock()`	RegressionBlock
`RemoveSilence()`	Remove Silence
`RemoveType()`	RemoveType module
`ResBlock()`	ResBlock
`ResNet()`	ResNet
`Resample()`	Resample
`Resize()`	Resize
`ResizeBatch()`	ResizeBatch
`ResizeSignal()`	Resize Signal
`ResnetBlock()`	ResnetBlock
`RetinaNet()`	RetinaNet
`RetinaNetFocalLoss()`	RetinaNetFocalLoss
`RocAuc()`	RocAuc
`RocAucBinary()`	RocAucBinary
`RocAucMulti()`	RocAucMulti
`Rotate()`	Rotate
`SEBlock()`	SEBlock
`SEModule()`	SEModule
`SEResNeXtBlock()`	SEResNeXtBlock
`SGD()`	SGD
`SGRoll()`	SGRoll
`Saturation()`	Saturation
`SaveModelCallback()`	SaveModelCallback
`SchedCos()`	SchedCos
`SchedExp()`	SchedExp
`SchedLin()`	SchedLin
`SchedNo()`	SchedNo
`SchedPoly()`	SchedPoly
`SegmentationDataLoaders_from_label_func()`	SegmentationDataLoaders_from_label_func
`SelfAttention()`	SelfAttention
`SentenceEncoder()`	SentenceEncoder
`SentencePieceTokenizer()`	SentencePieceTokenizer
`SeparableBlock()`	SeparableBlock
`SequentialEx()`	SequentialEx
`SequentialRNN()`	Sequential RNN
`ShapInterpretation()`	ShapInterpretation
`ShortEpochCallback()`	ShortEpochCallback
`Shortcut()`	Shortcut
`ShowCycleGANImgsCallback()`	ShowCycleGANImgsCallback
`ShowGraphCallback()`	ShowGraphCallback
`SigmoidRange()`	SigmoidRange
`SignalCutout()`	Signal Cutout
`SignalLoss()`	Signal Loss
`SignalShifter()`	Signal Shifter
`SimpleCNN()`	SimpleCNN
`SimpleSelfAttention()`	SimpleSelfAttention
`SortedDL()`	SortedDL
`SpacyTokenizer()`	SpacyTokenizer
`SpearmanCorrCoef()`	SpearmanCorrCoef
`SpectrogramTransformer()`	Spectrogram Transformer
`SqueezeNet()`	SqueezeNet
`Swish_()`	Swish
`TSBlock()`	TSBlock
`TSDataLoaders_from_dfs()`	TSDataLoaders_from_dfs
`TSDataTable()`	TSDataTable
`TSeries()`	TSeries
`TSeries_create()`	TSeries_create
`TabularDataTable()`	TabularDataTable
`TabularModel()`	TabularModel
`TabularTS()`	TabularTS
`TabularTSDataloader()`	TabularTSDataloader
`TensorBBox()`	TensorBBox
`TensorBBox_create()`	TensorBBox_create
`TensorImage()`	TensorImage
`TensorImageBW()`	TensorImageBW
`TensorMultiCategory()`	TensorMultiCategory
`TensorPoint()`	TensorPoint
`TensorPoint_create()`	TensorPoint_create
`TerminateOnNaNCallback()`	TerminateOnNaNCallback
`TextBlock()`	TextBlock
`TextBlock_from_df()`	TextBlock_from_df
`TextBlock_from_folder()`	TextBlock_from_folder
`TextDataLoaders_from_csv()`	TextDataLoaders_from_csv
`TextDataLoaders_from_df()`	TextDataLoaders_from_df
`TextDataLoaders_from_folder()`	TextDataLoaders_from_folder
`TextLearner()`	TextLearner
`TextLearner_load_encoder()`	Load_encoder
`TextLearner_load_pretrained()`	Load_pretrained
`TextLearner_save_encoder()`	Save_encoder
`TfmResize()`	TfmResize
`TfmdDL()`	TfmdDL
`TfmdLists()`	TfmdLists
`ToTensor()`	ToTensor
`TokenizeWithRules()`	TokenizeWithRules
`Tokenizer()`	Tokenizer
`Tokenizer_from_df()`	Tokenizer_from_df
`TrackerCallback()`	TrackerCallback
`TrainEvalCallback()`	TrainEvalCallback
`Transform()`	Transform
`TransformBlock()`	TransformBlock
`TransformersDropOutput()`	TransformersDropOutput
`TransformersTokenizer()`	TransformersTokenizer
`URLs_ADULT_SAMPLE()`	ADULT_SAMPLE dataset
`URLs_AG_NEWS()`	AG_NEWS dataset
`URLs_AMAZON_REVIEWSAMAZON_REVIEWS()`	AMAZON_REVIEWSAMAZON_REVIEWS dataset
`URLs_AMAZON_REVIEWS_POLARITY()`	AMAZON_REVIEWS_POLARITY dataset
`URLs_BIWI_HEAD_POSE()`	BIWI_HEAD_POSE dataset
`URLs_CALTECH_101()`	CALTECH_101 dataset
`URLs_CAMVID()`	CAMVID dataset
`URLs_CAMVID_TINY()`	CAMVID_TINY dataset
`URLs_CARS()`	CARS dataset
`URLs_CIFAR()`	CIFAR dataset
`URLs_CIFAR_100()`	CIFAR_100 dataset
`URLs_COCO_TINY()`	COCO_TINY dataset
`URLs_CUB_200_2011()`	CUB_200_2011 dataset
`URLs_DBPEDIA()`	DBPEDIA dataset
`URLs_DOGS()`	DOGS dataset
`URLs_FLOWERS()`	FLOWERS dataset
`URLs_FOOD()`	FOOD dataset
`URLs_HORSE_2_ZEBRA()`	HORSE_2_ZEBRA dataset
`URLs_HUMAN_NUMBERS()`	HUMAN_NUMBERS dataset
`URLs_IMAGENETTE()`	IMAGENETTE dataset
`URLs_IMAGENETTE_160()`	IMAGENETTE_160 dataset
`URLs_IMAGENETTE_320()`	IMAGENETTE_320 dataset
`URLs_IMAGEWOOF()`	IMAGEWOOF dataset
`URLs_IMAGEWOOF_160()`	IMAGEWOOF_160 dataset
`URLs_IMAGEWOOF_320()`	IMAGEWOOF_320 dataset
`URLs_IMDB()`	IMDB dataset
`URLs_IMDB_SAMPLE()`	IMDB_SAMPLE dataset
`URLs_LSUN_BEDROOMS()`	LSUN_BEDROOMS dataset
`URLs_ML_SAMPLE()`	ML_SAMPLE dataset
`URLs_MNIST()`	MNIST dataset
`URLs_MNIST_SAMPLE()`	MNIST_SAMPLE dataset
`URLs_MNIST_TINY()`	MNIST_TINY dataset
`URLs_MNIST_VAR_SIZE_TINY()`	MNIST_VAR_SIZE_TINY dataset
`URLs_MOVIE_LENS_ML_100k()`	MOVIE_LENS_ML_100k dataset
`URLs_MT_ENG_FRA()`	MT_ENG_FRA dataset
`URLs_OPENAI_TRANSFORMER()`	OPENAI_TRANSFORMER dataset
`URLs_PASCAL_2007()`	PASCAL_2007 dataset
`URLs_PASCAL_2012()`	PASCAL_2012 dataset
`URLs_PETS()`	PETS dataset
`URLs_PLANET_SAMPLE()`	PLANET_SAMPLE dataset
`URLs_PLANET_TINY()`	PLANET_TINY dataset
`URLs_S3_COCO()`	S3_COCO dataset
`URLs_S3_IMAGE()`	S3_IMAGE dataset
`URLs_S3_IMAGELOC()`	S3_IMAGELOC dataset
`URLs_S3_MODEL()`	S3_MODEL dataset
`URLs_S3_NLP()`	S3_NLP dataset
`URLs_SIIM_SMALL()`	SIIM_SMALL
`URLs_SKIN_LESION()`	SKIN_LESION dataset
`URLs_SOGOU_NEWS()`	SOGOU_NEWS dataset
`URLs_SPEAKERS10()`	SPEAKERS10 dataset
`URLs_SPEECHCOMMANDS()`	SPEECHCOMMANDS dataset
`URLs_WIKITEXT()`	WIKITEXT dataset
`URLs_WIKITEXT_TINY()`	WIKITEXT_TINY dataset
`URLs_WT103_BWD()`	WT103_BWD dataset
`URLs_WT103_FWD()`	WT103_FWD dataset
`URLs_YAHOO_ANSWERS()`	YAHOO_ANSWERS dataset
`URLs_YELP_REVIEWS()`	YELP_REVIEWS dataset
`URLs_YELP_REVIEWS_POLARITY()`	YELP_REVIEWS_POLARITY dataset
`UnetBlock()`	UnetBlock
`Voice()`	Voice
`WandbCallback()`	WandbCallback
`Warp()`	Warp
`WeightDropout()`	WeightDropout
`WeightedDL()`	WeightedDL
`XResNet()`	XResNet
`Zoom_()`	Zoom
`abs(<torch.Tensor>)`	Abs
`abs(<fastai.torch_core.TensorMask>)`	Abs
`accuracy()`	Accuracy
`accuracy_multi()`	Accuracy_multi
`accuracy_thresh_expand()`	Accuracy threshold expand
`adam_step()`	Adam_step
`adaptive_pool()`	Adaptive_pool
`+`(<torch.Tensor>) `sinh(<torch.Tensor>)`	Add
`add_cyclic_datepart()`	Add cyclic datepart
`add_datepart()`	Add datepart
`affine_coord()`	Aaffine_coord
`affine_mat()`	Affline mat
`alexnet()`	Alexnet
`&`(<fastai.torch_core.TensorMask>)	Logical_and
`apply_perspective()`	Apply_perspective
`as_array()`	As_array
`aspect()`	Aspect
`audio_extensions()`	Audio_extensions
`aug_transforms()`	Augmentation
`average_grad()`	Average_grad
`average_sqr_grad()`	Average_sqr_grad
`awd_lstm_clas_split()`	Awd_lstm_clas_split
`awd_lstm_lm_split()`	Awd_lstm_lm_split
`basic_critic()`	Basic critic
`basic_generator()`	Basic generator
`bb_pad()`	Bb_pad
`blurr()` `blurr()`	Hugging Face module
`bs_find()`	Bs_find
`bs_finder()`	Bs finder
`bt()`	Builtins module
`calculate_rouge()`	Calculate_rouge
`catalyst()`	Catalyst module
`catalyst_model()`	Catalyst model
`ceiling(<fastai.torch_core.TensorMask>)`	Ceil
`ceiling(<torch.Tensor>)`	Ceil
`children_and_parameters()`	Children_and_parameters
`clean_raw_keys()`	Clean_raw_keys
`clip_remove_empty()`	Clip_remove_empty
`cm()`	Cm module
`cnn_config()`	Cnn config
`cnn_learner()`	Cnn_learner
`collab()`	Collab module
`collab_learner()`	Collab_learner
`colors()`	Colors module
`combined_flat_anneal()`	Combined_flat_anneal
`competition_download_file()`	Competition download file
`competition_download_files()`	Competition download files
`competition_leaderboard_download()`	Competition leaderboard download
`competition_list_files()`	Competition list files
`competition_submit()`	Competition submit
`competitions_list()`	Competitions list
`convT_norm_relu()`	ConvT_norm_relu
`conv_norm_lr()`	Conv_norm_lr
`cos(<fastai.torch_core.TensorMask>)`	Cos
`cos(<torch.Tensor>)`	Cos
`cosh(<fastai.torch_core.TensorMask>)`	Cosh
`cosh(<torch.Tensor>)`	Cosh
`crap()`	Crappify module
`crappifier()`	Crappifier
`create_body()`	Create_body
`create_cnn_model()`	Create_cnn_model
`create_fcn()`	Create_fcn
`create_head()`	Create_head
`create_inception()`	Create_inception
`create_mlp()`	Create_mlp
`create_resnet()`	Create_resnet
`create_unet_model()`	Create_unet_model
`custom_loss()`	Loss NN module
`cutout_gaussian()`	Cutout_gaussian
`cycle_learner()`	Cycle_learner
`dataloaders()`	Dataloaders from dls object
`dcmread()`	Read dicom
`debias()`	Debias
`decision_plot()`	Decision_plot
`decode_spec_tokens()`	Decode_spec_tokens
`default_split()`	Default_split
`denormalize_imagenet()`	Denormalize_imagenet
`densenet121()`	Densenet121
`densenet161()`	Densenet161
`densenet169()`	Densenet169
`densenet201()`	Densenet201
`dependence_plot()`	Dependence_plot
`detuplify_pg()`	Detuplify_pg
`dicom_windows()`	Dicom_windows module
`dihedral_mat()`	Dihedral_mat
`dim(<torch.Tensor>)`	Dim
`dim(<fastai.torch_core.TensorMask>)`	Dim
`discriminator()`	Discriminator
`/`(<torch.Tensor>)	Div
`dropout_mask()`	Dropout_mask
`dummy_eval()`	Dummy_eval
`efficientdet_infer_dl()`	Efficientdet infer dataloader
`efficientdet_learner()`	MaskRCNN learner
`efficientdet_model()`	Eficientdet model
`efficientdet_predict_dl()`	Efficientdet predict dataloader
`efficientdet_train_dl()`	Efficientdet train dataloader
`efficientdet_valid_dl()`	Efficientdet valid dataloader
`emb_sz_rule()`	Emb_sz_rule
`error_rate()`	Error rate
`exp(<torch.Tensor>)`	Exp
`exp(<fastai.torch_core.TensorMask>)`	Exp
`exp_rmspe()`	Exp_rmspe
`expm1(<torch.Tensor>)`	Expm1
`expm1(<fastai.torch_core.TensorMask>)`	Expm1
`export_generator()`	Export_generator
`fView()`	View
`fa_collate()`	Fa_collate
`fa_convert()`	Da_convert
`fastai_version()`	Fastai version
`fastaudio()`	Fastaudio module
`faster_rcnn_infer_dl()`	Faster RCNN infer dataloader
`faster_rcnn_learner()`	Faster RSNN learner
`faster_rcnn_model()`	Faster RSNN model
`faster_rcnn_predict_dl()`	Faster RCNN predict dataloader
`faster_rcnn_train_dl()`	Faster RSNN train dataloader
`faster_rcnn_valid_dl()`	Faster RSNN valid dataloader
`fastinf()`	Wandb module
`find_coeffs()`	Find_coeffs
`fine_tune()`	Fine_tune
`fit(<fastai.learner.Learner>)`	Fit
`fit(<fastai.tabular.learner.TabularLearner>)`	Fit
`fit(<fastai.vision.gan.GANLearner>)`	Fit
`fit_flat_cos()`	Fit_flat_cos
`fit_flat_lin()`	Fit_flat_lin
`fit_one_cycle()`	Fit one cycle
`fit_sgdr()`	Fit_sgdr
`fix_fit()`	Fix fit
`fix_html()`	Fix_html
`flatten_check()`	Flatten check
`flatten_model()`	Flatten_model
`flip_mat()`	Flip_mat
`float()`	Tensor to float
`floor(<fastai.torch_core.TensorMask>)`	Floor
`floor(<torch.Tensor>)`	Floor
`%/%`(<torch.Tensor>)	Floor divide
`%%`(<torch.Tensor>)	Floor mod
`fmodule()`	Module
`force_plot()`	Force_plot
`foreground_acc()`	Foreground accuracy
`forget_mult_CPU()`	Forget_mult_CPU
`freeze()`	Freeze a model
`gan_critic()`	Gan critic
`gan_loss_from_func()`	GAN loss from function
`gauss_blur2d()`	Gauss_blur2d
`generate_noise()`	Generate noise
`get_annotations()`	Get_annotations
`get_audio_files()`	Get_audio_files
`get_bias()`	Get bias
`get_c()`	Get_c
`get_confusion_matrix()`	Extract confusion matrix
`get_data_loaders()`	Get data loaders
`get_dcm_matrix()`	Get image matrix
`get_dicom_files()`	get_dicom_files
`get_dls()`	Get dls
`get_emb_sz()`	Get_emb_sz
`get_files()`	Get_files
`get_grid()`	Get_grid
`get_hf_objects()`	Get_hf_objects
`get_image_files()`	Get image files
`get_language_model()`	Get_language_model
`get_preds_cyclegan()`	Get_preds_cyclegan
`get_text_classifier()`	Get_text_classifier
`get_text_files()`	Get_text_files
`get_weights()`	Get weights
`%f%`	Fastai assignment
`%%`(<fastai.torch_core.TensorMask>)	Floor mod
`%/%`(<fastai.torch_core.TensorMask>)	Floor divide
`grayscale()`	Grayscale
`>`(<fastai.torch_core.TensorMask>)	Greater
`>=`(<fastai.torch_core.TensorMask>)	Greater or equal
`>`(<torch.Tensor>)	Greater
`>=`(<torch.Tensor>)	Greater or equal
`has_params()`	Has_params
`has_pool_type()`	Has_pool_type
`helper()`	BLURR_MODEL_HELPER
`hf_splitter()`	Hf_splitter
`hook_output()`	Hook_output
`hook_outputs()`	Hook_outputs
`hsv2rgb()`	Hsv2rgb
`hug()`	Transformer module
`icevision()`	Icevision module
`icevision_Adapter()`	Adapter
`icevision_BasicIAATransform()`	BasicIAATransform
`icevision_BasicTransform()`	BasicTransform
`icevision_Blur()`	Blur
`icevision_CLAHE()`	CLAHE
`icevision_ChannelDropout()`	ChannelDropout
`icevision_ChannelShuffle()`	ChannelShuffle
`icevision_ClassMap()`	ClassMap
`icevision_CoarseDropout()`	CoarseDropout
`icevision_ColorJitter()`	ColorJitter
`icevision_Compose()`	Compose
`icevision_Crop()`	Crop
`icevision_CropNonEmptyMaskIfExists()`	CropNonEmptyMaskIfExists
`icevision_Cutout()`	Cutout
`icevision_Dataset()`	Dataset
`icevision_Dataset_from_images()`	Icevision Dataset from images
`icevision_Downscale()`	Downscale
`icevision_DualIAATransform()`	DualIAATransform
`icevision_DualTransform()`	DualTransform
`icevision_ElasticTransform()`	ElasticTransform
`icevision_Equalize()`	Equalize
`icevision_FDA()`	FDA
`icevision_FancyPCA()`	FancyPCA
`icevision_FixedSplitter()`	FixedSplitter
`icevision_Flip()`	Flip
`icevision_FromFloat()`	FromFloat
`icevision_GaussNoise()`	GaussNoise
`icevision_GaussianBlur()`	GaussianBlur
`icevision_GlassBlur()`	GlassBlur
`icevision_GridDistortion()`	GridDistortion
`icevision_GridDropout()`	GridDropout
`icevision_HistogramMatching()`	HistogramMatching
`icevision_HorizontalFlip()`	HorizontalFlip
`icevision_HueSaturationValue()`	HueSaturationValue
`icevision_IAAAdditiveGaussianNoise()`	IAAAdditiveGaussianNoise
`icevision_IAAAffine()`	IAAAffine
`icevision_IAACropAndPad()`	IAACropAndPad
`icevision_IAAEmboss()`	IAAEmboss
`icevision_IAAFliplr()`	IAAFliplr
`icevision_IAAFlipud()`	IAAFlipud
`icevision_IAAPerspective()`	IAAPerspective
`icevision_IAAPiecewiseAffine()`	IAAPiecewiseAffine
`icevision_IAASharpen()`	IAASharpen
`icevision_IAASuperpixels()`	IAASuperpixels
`icevision_ISONoise()`	ISONoise
`icevision_ImageCompression()`	ImageCompression
`icevision_ImageOnlyIAATransform()`	ImageOnlyIAATransform
`icevision_ImageOnlyTransform()`	ImageOnlyTransform
`icevision_InvertImg()`	InvertImg
`icevision_JpegCompression()`	JpegCompression
`icevision_LongestMaxSize()`	LongestMaxSize
`icevision_MaskDropout()`	MaskDropout
`icevision_MedianBlur()`	MedianBlur
`icevision_MotionBlur()`	MotionBlur
`icevision_MultiplicativeNoise()`	MultiplicativeNoise
`icevision_Normalize()`	Normalize
`icevision_OpticalDistortion()`	OpticalDistortion
`icevision_PadIfNeeded()`	PadIfNeeded
`icevision_Posterize()`	Posterize
`icevision_RGBShift()` `icevision_RGBShift()`	RGBShift
`icevision_RandomBrightnessContrast()`	RandomBrightnessContrast
`icevision_RandomContrast()`	RandomContrast
`icevision_RandomCrop()`	RandomCrop
`icevision_RandomCropNearBBox()`	RandomCropNearBBox
`icevision_RandomFog()`	RandomFog
`icevision_RandomGamma()`	RandomGamma
`icevision_RandomGridShuffle()`	RandomGridShuffle
`icevision_RandomRain()`	RandomRain
`icevision_RandomResizedCrop()`	RandomResizedCrop
`icevision_RandomRotate90()`	RandomRotate90
`icevision_RandomScale()`	RandomScale
`icevision_RandomShadow()`	RandomShadow
`icevision_RandomSizedBBoxSafeCrop()` `icevision_RandomSizedBBoxSafeCrop()`	RandomSizedBBoxSafeCrop
`icevision_RandomSizedCrop()`	RandomSizedCrop
`icevision_RandomSnow()`	RandomSnow
`icevision_RandomSplitter()`	RandomSplitter
`icevision_RandomSunFlare()`	RandomSunFlare
`icevision_Resize()`	Resize
`icevision_Rotate()`	Rotate
`icevision_ShiftScaleRotate()` `icevision_ShiftScaleRotate()`	ShiftScaleRotate
`icevision_SingleSplitSplitter()`	SingleSplitSplitter
`icevision_SmallestMaxSize()`	SmallestMaxSize
`icevision_Solarize()`	Solarize
`icevision_ToFloat()`	ToFloat
`icevision_ToGray()`	ToGray
`icevision_ToSepia()`	ToSepia
`icevision_Transpose()`	Transpose
`icevision_VerticalFlip()`	VerticalFlip
`icevision_aug_tfms()`	Aug_tfms
`icevision_parse()`	Parse
`icevision_read_bgr_image()`	Read_bgr_image
`icevision_read_rgb_image()`	Read_rgb_image
`icevision_resize_and_pad()`	Resize_and_pad
`icnr_init()`	Icnr_init
`image2tensor()`	Image2tensor
`imagenet_stats()`	Imagenet statistics
`in_channels()`	In_channels
`init()`	Wandb init
`init_default()`	Init_default
`init_linear()`	Init_linear
`install_fastai()`	Install fastai
`is_rmarkdown()`	Is Rmarkdown?
`kg()`	Kaggle module
`l2_reg()`	L2_reg
`lamb_step()`	Lamb_step
`language_model_learner()`	Language_model_learner
`larc_layer_lr()`	Larc_layer_lr
`larc_step()`	Larc_step
`layer_info()`	Layer_info
`length(<torch.Tensor>)`	Length
`length(<fastai.torch_core.TensorMask>)`	Length
`<`(<fastai.torch_core.TensorMask>)	Less
`<=`(<fastai.torch_core.TensorMask>)	Less or equal
`<`(<torch.Tensor>)	Less
`<=`(<torch.Tensor>)	Less or equal
`load_dataset()`	Load_dataset
`load_ignore_keys()`	Load_ignore_keys
`load_image()`	Load_image
`load_learner()`	Load_learner
`load_model_text()`	Load_model_text
`load_pre_models()`	Timm models
`load_tokenized_csv()`	Load_tokenized_csv
`loaders()`	Loaders
`log(<torch.Tensor>)`	Log
`log(<fastai.torch_core.TensorMask>)`	Log
`log1p(<torch.Tensor>)`	Log1p
`log1p(<fastai.torch_core.TensorMask>)`	Log1p
`&`(<torch.Tensor>)	Logical_and
`!`(<torch.Tensor>)	Logical_not
`\|`(<torch.Tensor>)	Logical_or
`login()`	Wandb login
`lr_find()`	Lr_find
`mae()`	MAE
`make_vocab()`	Make_vocab
`mask2bbox()`	Mask2bbox
`==`(<fastai.torch_core.TensorMask>)	Equal
`mask_from_blur()`	Mask from blur
`mask_rcnn_infer_dl()`	Mask RCNN infer dataloader
`mask_rcnn_learner()`	MaskRCNN learner
`mask_rcnn_model()`	MaskRCNN model
`mask_rcnn_predict_dl()`	Mask RCNN predict dataloader
`mask_rcnn_train_dl()`	MaskRCNN train dataloader
`mask_rcnn_valid_dl()`	MaskRSNN valid dataloader
`mask_tensor()`	Mask_tensor
`masked_concat_pool()`	Masked_concat_pool
`match_embeds()`	Match_embeds
`max(<torch.Tensor>)`	Max
`max(<fastai.torch_core.TensorMask>)`	Max
`maybe_unsqueeze()`	Maybe_unsqueeze
`mean(<fastai.torch_core.TensorMask>)`	Mean of tensor
`mean(<torch.Tensor>)`	Mean of tensor
`medical()`	Medical module
`metrics()`	Metrics module
`migrating_ignite()`	Ignite module
`migrating_lightning()`	Lightning module
`migrating_pytorch()`	Pytorch module
`min(<torch.Tensor>)`	Min
`min(<fastai.torch_core.TensorMask>)`	Min
`mish()`	Mish
`model_sizes()`	Model_sizes
`momentum_step()`	Momentum_step
`most_confused()`	Most_confused
`mse()`	MSE
`msle()`	MSLE
`*`(<torch.Tensor>)	Multiply
`n_px()`	N_px
`narrow()`	Modify tensor
`nn()`	NN module
`nn_loss()`	Fastai custom loss
`nn_module()`	Fastai NN module
`noop()`	Noop
`norm_apply_denorm()`	Norm_apply_denorm
`!`(<fastai.torch_core.TensorMask>)	Logical_not
`!=`(<torch.Tensor>)	Not equal
`!=`(<fastai.torch_core.TensorMask>)	Not equal
`num_features_model()`	Num_features_model
`one_batch()`	One batch
`optim_metric()`	Optim metric
`\|`(<fastai.torch_core.TensorMask>)	Logical_or
`os()`	Operating system
`os_environ_tpu()`	An environment supporting TPUs
`pad_conv_norm_relu()`	Pad_conv_norm_relu
`pad_input()`	Pad_input
`pad_input_chunk()`	Pad_input_chunk
`parallel()`	Parallel
`parallel_tokenize()`	Parallel_tokenize
`params()`	Params
`parent_label()`	Parent_label
`parsers_AreasMixin()`	AreasMixin
`parsers_BBoxesMixin()`	BBoxesMixin
`parsers_FasterRCNN()`	Faster RCNN
`parsers_FilepathMixin()`	FilepathMixin
`parsers_ImageidMixin()`	Imageid Mixin
`parsers_IsCrowdsMixin()`	IsCrowdsMixin
`parsers_LabelsMixin()`	LabelsMixin
`parsers_MaskRCNN()`	Mask RCNN
`parsers_MasksMixin()`	MasksMixin
`parsers_SizeMixin()`	SizeMixin
`parsers_voc()`	Voc parser
`partial()`	Partial
`pca()`	PCA
`plot()`	Plot dicom
`plot_bs_find()`	Plot_bs_find
`plot_confusion_matrix()`	Plot_confusion_matrix
`plot_loss()`	Plot_loss
`plot_lr_find()`	Plot_lr_find
`plot_top_losses()`	Plot_top_losses
`+`(<fastai.torch_core.TensorMask>)	Add
`+`(<torch.nn.modules.container.Sequential>)	Add layers to Sequential
`^`(<fastai.torch_core.TensorMask>)	Pow
`^`(<torch.Tensor>)	Pow
`pre_process_squad()`	Pre_process_squad
`predict(<fastai.learner.Learner>)`	Predict
`predict(<fastai.tabular.learner.TabularLearner>)`	Predict
`preplexity()`	Perplexity
`preprocess_audio_folder()`	Preprocess audio folder
`print(<fastai.learner.Learner>)`	Print model
`print(<fastai.tabular.learner.TabularLearner>)`	Print tabular model
`print(<pydicom.dataset.FileDataset>)`	Dicom
`py_apply()`	Py_apply
`python_path()`	Python path
`qhadam_step()`	Qhadam_step
`radam_step()`	Radam_step
`ranger()`	Ranger
`replace_all_caps()`	Replace_all_caps
`replace_maj()`	Replace_maj
`replace_rep()`	Replace_rep
`replace_wrep()`	Replace_wrep
`res_block_1d()`	Res_block_1d
`reshape()`	Reshape
`resize_max()`	Resize_max
`resnet101()`	Resnet101
`resnet152()`	Resnet152
`resnet18()`	Resnet18
`resnet34()`	Resnet34
`resnet50()`	Resnet50
`resnet_generator()`	Resnet_generator
`retinanet_()`	Retinanet module
`reverse_text()`	Reverse_text
`rgb2hsv()`	Rgb2hsv
`rm_useless_spaces()`	Rm_useless_spaces
`rms_prop_step()`	Rms_prop_step
`rmse()`	RMSE
`rotate_mat()`	Rotate_mat
`round(<torch.Tensor>)`	Round
`round(<fastai.torch_core.TensorMask>)`	Round
`sequential()`	Sequential
`set_freeze_model()`	Set freeze model
`set_item_pg()`	Set_item_pg
`setup_aug_tfms()`	Setup_aug_tfms
`sgd_step()`	Sgd_step
`shap()`	Shap module
`shape()`	Shape
`show()`	Show
`show_array()`	Show_array
`show_batch()`	Show_batch
`show_image()`	Show_image
`show_images()`	Show_images
`show_preds()`	Show_preds
`show_results()`	Show_results
`show_samples()`	Show_samples
`sigmoid()`	Sigmoid
`sigmoid_()`	Sigmoid_
`sigmoid_range()`	Sigmoid_range
`sin(<fastai.torch_core.TensorMask>)`	Sin
`sin(<torch.Tensor>)`	Sin
`sinh(<fastai.torch_core.TensorMask>)`	Sinh
`skm_to_fastai()`	Skm to fastai
`/`(<fastai.torch_core.TensorMask>)	Div
`slice()`	Slice
`sort(<torch.Tensor>)`	Sort
`sort(<fastai.torch_core.TensorMask>)`	Sort
`spec_add_spaces()`	Spec_add_spaces
`sqrt(<torch.Tensor>)`	Sqrt
`sqrt(<fastai.torch_core.TensorMask>)`	Sqrt
`squeezenet1_0()`	Squeezenet1_0
`squeezenet1_1()`	Squeezenet1_1
`stack_train_valid()`	Stack_train_valid
`step_stat()`	Step_stat
`-`(<torch.Tensor>)	Sub
`-`(<fastai.torch_core.TensorMask>)	Sub
`subplots()`	Subplots
`summarization_splitter()`	Summarization_splitter
`summary(<fastai.learner.Learner>)`	Summary
`summary(<fastai.tabular.learner.TabularLearner>)`	Summary
`summary_plot()`	Summary_plot
`swish()`	Swish
`tabular()`	Tabular
`tabular_config()`	Tabular_config
`tabular_learner()`	Tabular learner
`tar_extract_at_filename()`	Tar_extract_at_filename
`tensor()`	Tensor
`==`(<torch.Tensor>)	Equal
`==`(<fastai.torch_core.TensorImage>)	Equal
`test_loader()`	Test_loader
`text()`	Text module
`text_classifier_learner()`	Text_classifier_learner
`*`(<fastai.torch_core.TensorMask>)	Multiply
`timm()`	Timm module
`timm_learner()`	Timm_learner
`timm_list_models()`	Timm models
`tms()`	Timeseries module
`to_bytes_format()`	To_bytes_format
`to_image()`	To_image
`to_matrix()`	To matrix
`to_thumb()`	To_thumb
`to_xla()`	Learn to XLA
`tokenize1()`	Tokenize1
`tokenize_csv()`	Tokenize_csv
`tokenize_df()`	Tokenize_df
`tokenize_files()`	Tokenize_files
`tokenize_folder()`	Tokenize_folder
`tokenize_texts()`	Tokenize_texts
`top_k_accuracy()`	Top_k_accuracy
`torch()`	Builtins module
`total_params()`	Total_params
`train_loader()`	Train_loader
`trainable_params()`	Trainable_params
`transformers()`	Transformers
`trunc_normal_()`	Trunc_normal_
`unet_config()`	Unet_config
`unet_learner()`	Unet_learner
`unfreeze()`	Unfreeze a model
`uniform_blur2d()`	Uniform_blur2d
`upit()`	Upit module
`vgg11_bn()`	Vgg11_bn
`vgg13_bn()`	Vgg13_bn
`vgg16_bn()`	Vgg16_bn
`vgg19_bn()`	Vgg19_bn
`vision()`	Vision module
`vleaky_relu()`	Vleaky_relu
`wandb()`	Wandb module
`waterfall_plot()`	Waterfall_plot
`weight_decay()`	Weight_decay
`win_abdoment_soft()`	Abdomen soft
`win_brain()`	Brain
`win_brain_bone()`	Brain bone
`win_brain_soft()`	Brain soft
`win_liver()`	Liver
`win_lungs()`	Lungs
`win_mediastinum()`	Mediastinum
`win_spine_bone()`	Spine bone
`win_spine_soft()`	Spine soft
`win_stroke()`	Stroke
`win_subdural()`	Subdural
`xla()`	XLA
`xresnet101()`	Xresnet101
`xresnet152()`	Xresnet152
`xresnet18()`	Xresnet18
`xresnet18_deep()`	Xresnet18_deep
`xresnet18_deeper()`	Xresnet18_deeper
`xresnet34()`	Xresnet34
`xresnet34_deep()`	Xresnet34_deep
`xresnet34_deeper()`	Xresnet34_deeper
`xresnet50()`	Xresnet50
`xresnet50_deep()`	Xresnet50_deep
`xresnet50_deeper()`	Xresnet50_deeper
`xresnext101()`	xresnext101
`xresnext18()`	xresnext18
`xresnext34()`	xresnext34
`xresnext50()`	xresnext50
`xse_resnet101()`	xse_resnet101
`xse_resnet152()`	xse_resnet152
`xse_resnet18()`	xse_resnet18
`xse_resnet34()`	xse_resnet34
`xse_resnet50()`	xse_resnet50
`xse_resnext101()`	xse_resnext101
`xse_resnext18()`	xse_resnext18
`xse_resnext18_deep()`	xse_resnext18_deep
`xse_resnext18_deeper()`	xse_resnext18_deeper
`xse_resnext34()`	xse_resnext34
`xse_resnext34_deep()`	xse_resnext34_deep
`xse_resnext34_deeper()`	xse_resnext34_deeper
`xse_resnext50()`	xse_resnext50
`xse_resnext50_deep()`	xse_resnext50_deep
`xse_resnext50_deeper()`	xse_resnext50_deeper
`xsenet154()`	xsenet154
`zoom()`	Zoom
`zoom_mat()`	Zoom_mat

Reference

All functions