# AUTOGENERATED BY NBDEV! DO NOT EDIT!

__all__ = ["index", "modules", "custom_doc_links", "git_url"]

index = {"seed_everything": "00_core.ipynb",
         "after_loss": "00vision_losses.ipynb",
         "cross_entropy": "00vision_losses.ipynb",
         "cross_entropy_mixup": "00vision_losses.ipynb",
         "binary_cross_entropy": "00vision_losses.ipynb",
         "binary_cross_entropy_mixup": "00vision_losses.ipynb",
         "binary_cross_entropy_scaled_mixup": "00vision_losses.ipynb",
         "focal_loss": "00vision_losses.ipynb",
         "get_loss": "00vision_losses.ipynb",
         "gem": "00vision_models.ipynb",
         "GeM": "00vision_models.ipynb",
         "AdaptiveConcatPool2d_GeM": "00vision_models.ipynb",
         "MobileNetV2": "00vision_models.ipynb",
         "ResNet_": "00vision_models.ipynb",
         "ResNet18_swsl": "00vision_models.ipynb",
         "ResNet50_swsl": "00vision_models.ipynb",
         "ResNet50_32x4d_swsl": "00vision_models.ipynb",
         "xResNet_": "00vision_models.ipynb",
         "xResNet50_ssa": "00vision_models.ipynb",
         "ResNeSt_": "00vision_models.ipynb",
         "ResNeSt50": "00vision_models.ipynb",
         "ResNeSt101": "00vision_models.ipynb",
         "ResNeSt200": "00vision_models.ipynb",
         "ResNeSt269": "00vision_models.ipynb",
         "ResNeSt50_fast_1s1x64d": "00vision_models.ipynb",
         "ResNeSt50_fast_1s2x40d": "00vision_models.ipynb",
         "ResNeSt50_fast_1s4x24d": "00vision_models.ipynb",
         "ResNeSt50_fast_2s1x64d": "00vision_models.ipynb",
         "ResNeSt50_fast_2s2x40d": "00vision_models.ipynb",
         "ResNeSt50_fast_4s1x64d": "00vision_models.ipynb",
         "ResNeSt50_fast_4s2x40d": "00vision_models.ipynb",
         "DenseNet_": "00vision_models.ipynb",
         "DenseNet121": "00vision_models.ipynb",
         "DenseNet169": "00vision_models.ipynb",
         "DenseNet201": "00vision_models.ipynb",
         "DenseNet161": "00vision_models.ipynb",
         "DenseNetBlur121": "00vision_models.ipynb",
         "EfficientNet_": "00vision_models.ipynb",
         "EfficientNetB0": "00vision_models.ipynb",
         "EfficientNetB1": "00vision_models.ipynb",
         "EfficientNetB2": "00vision_models.ipynb",
         "EfficientNetB3": "00vision_models.ipynb",
         "EfficientNetB4": "00vision_models.ipynb",
         "EfficientNetB5": "00vision_models.ipynb",
         "EfficientNetB6": "00vision_models.ipynb",
         "EfficientNetB7": "00vision_models.ipynb",
         "Head": "00vision_models.ipynb",
         "EmbResNeSt_": "00vision_models.ipynb",
         "EmbResNeSt50": "00vision_models.ipynb",
         "get_model": "00vision_models.ipynb",
         "SampleEpisode": "00vision_triplet.ipynb",
         "compute_distance_matrix": "00vision_triplet.ipynb",
         "EpisodeDataLoader": "00vision_triplet.ipynb",
         "get_preds": "kaggle_rfcx-species-audio-detection.ipynb",
         "distance": "00vision_triplet.ipynb",
         "remove_duplicates": "00vision_triplet.ipynb",
         "map5": "00vision_triplet.ipynb",
         "accuracy": "01audio_util.ipynb",
         "AddGaussianSNR": "01audio_augmentations.ipynb",
         "ClippingDistortion": "01audio_augmentations.ipynb",
         "FrequencyMask": "01audio_augmentations.ipynb",
         "TimeMask": "01audio_augmentations.ipynb",
         "Gain": "01audio_augmentations.ipynb",
         "PitchShift": "01audio_augmentations.ipynb",
         "Shift": "01audio_augmentations.ipynb",
         "TimeStretch": "01audio_augmentations.ipynb",
         "MelSpectrogram": "01audio_augmentations.ipynb",
         "SAMPLE_FILE": "01audio_core.ipynb",
         "TensorAudio": "01audio_core.ipynb",
         "TensorAudioLabel": "01audio_core.ipynb",
         "load_npy": "01audio_core.ipynb",
         "sample_file": "01audio_core.ipynb",
         "melspectrogram": "01audio_core.ipynb",
         "show_sample": "01audio_core.ipynb",
         "audio2npy": "01audio_core.ipynb",
         "Datasets": "01audio_dataset.ipynb",
         "DataLoader": "01audio_dataset.ipynb",
         "DataLoaders": "01audio_dataset.ipynb",
         "RenameColumns": "01audio_dataset.ipynb",
         "load_dataframe": "01audio_dataset.ipynb",
         "group_labels": "01audio_dataset.ipynb",
         "time2pix_image": "01audio_dataset.ipynb",
         "time2pix_wave": "01audio_dataset.ipynb",
         "pix2time": "01audio_dataset.ipynb",
         "pix2pix_image": "01audio_dataset.ipynb",
         "time_labels": "01audio_dataset.ipynb",
         "audio_crop": "01audio_dataset.ipynb",
         "TilesTransform": "01audio_dataset.ipynb",
         "reorganize_batch": "01audio_dataset.ipynb",
         "create_dataset_item": "01audio_dataset.ipynb",
         "apply_augmentations": "01audio_dataset.ipynb",
         "audio_augment": "kaggle_rfcx-species-audio-detection.ipynb",
         "show_augmentations": "01audio_dataset.ipynb",
         "mask2category": "01audio_util.ipynb",
         "lrap": "01audio_util.ipynb",
         "kfold_dataframes": "01audio_util.ipynb",
         "OneHot": "01audio_util.ipynb",
         "MixUp": "01audio_util.ipynb",
         "LabelSED": "01audio_util.ipynb",
         "train": "kaggle_rfcx-species-audio-detection.ipynb",
         "test": "kaggle_rfcx-species-audio-detection.ipynb",
         "main": "kaggle_rfcx-species-audio-detection.ipynb"}

modules = ["core.py",
           "vision/losses.py",
           "vision/models.py",
           "vision/triplet.py",
           "audio/augmentations.py",
           "audio/core.py",
           "audio/dataset.py",
           "audio/util.py",
           "kaggle/rfcx_species_audio_detection.py"]

doc_url = "https://mnpinto.github.io/dl_pipeline/"

git_url = "https://github.com/mnpinto/dl_pipeline/tree/master/"

def custom_doc_links(name): return None
