Jupyter Notebook Viewer

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autoreload
experiments
imgs
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001a_nn_basics.ipynb
001b_fit.ipynb
002_images.ipynb
002b_augment_training.ipynb
002c_warp.ipynb
003_rect_square_crop.ipynb
004_callbacks.ipynb
004a_discriminative_lr.ipynb
004b_mixed_precision.ipynb
005_dogs_cats.ipynb
005a_interpretation.ipynb
005b_planet.ipynb
006_carvana.ipynb
006a_unet.ipynb
006b_pascal.ipynb
006c_camvid.ipynb
007_wikitext_2.ipynb
007a_imdb_preparation.ipynb
007b_imdb_classifier.ipynb
008_movie_lens.ipynb
009_rossmann.ipynb
099_tfm_coords.ipynb
100_add_metrics.ipynb
101_devise.ipynb
102a_coco.ipynb
103_wgan.ipynb
103_wganF.ipynb
104_data_block_API.ipynb
104a_camvid.ipynb
104b_pets_planets.ipynb
104c_single_image_pred.ipynb
104d_show_batch.ipynb
105_refactor_text_data.ipynb
106_cyclegan.ipynb
110_transformer_pretrained.ipynb
200_datablock_config.ipynb
200_datablock_config_jh.ipynb
201_batch_transform.ipynb
202_tokenizing.ipynb
202a_tokenize_benchmark.ipynb
BugAD.ipynb
Loss_func2Activ.ipynb
discriminator-digit.ipynb
discriminator-exp.ipynb
discriminator.ipynb
discriminator1.ipynb
enhance-wsdr.ipynb
enhance.ipynb
get_all.ipynb
imagenette.ipynb
lesson7-wgan.ipynb
mnist_sample.ipynb
new_callbacks.ipynb
stl-10.ipynb
translation_pretrained.ipynb
wikitext_103.ipynb
x_003a_rect_images.ipynb
x_003b_rect_training.ipynb
x_003c_random_resized_crop.ipynb
x_004b_implement_fast_progress.ipynb
x_006d_imgnet.ipynb
x_alternative_progress_bar.ipynb
.gitattributes
.gitignore
dogscats.py
exp
forget_mult.py
mnist_sample.py
models.py
nb_001a.py
nb_001b.py
nb_002.py
nb_002b.py
nb_002c.py
nb_003.py
nb_004.py
nb_004a.py
nb_004b.py
nb_005.py
nb_005a.py
nb_005b.py
nb_006.py
nb_006a.py
nb_006b.py
nb_007.py
nb_007a.py
nb_007b.py
nb_008.py
nb_009.py
nb_102a.py
nb_104.py
nb_104a.py
nb_104b.py
nb_200.py
notebook2script.py
qrnn.py