Anand Prakash anand086
anand086
/ cat_vs_dog_classifier_using_fastai.py
Created
July 6, 2021 06:31
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| !pip install -Uqq fastbook | |
| import fastbook | |
| fastbook.setup_book() | |
| from fastai.vision.all import * | |
| path = untar_data(URLs.PETS)/'images' | |
| def is_cat(x): return x[0].isupper() | |
| dls = ImageDataLoaders.from_name_func( |
anand086
/ fastai_segmentation.py
Created
July 6, 2021 06:36
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| path = untar_data(URLs.CAMVID_TINY) | |
| dls = SegmentationDataLoaders.from_label_func( | |
| path, bs=8, fnames = get_image_files(path/"images"), | |
| label_func = lambda o: path/'labels'/f'{o.stem}_P{o.suffix}', | |
| codes = np.loadtxt(path/'codes.txt', dtype=str) | |
| ) | |
| learn = unet_learner(dls, resnet34) | |
| learn.fine_tune(8) |
anand086
/ fastai_nlp.py
Created
July 6, 2021 06:55
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| from fastai.text.all import * | |
| dls = TextDataLoaders.from_folder(untar_data(URLs.IMDB), valid='test') | |
| learn = text_classifier_learner(dls, AWD_LSTM, drop_mult=0.5, metrics=accuracy) | |
| learn.fine_tune(4, 1e-2) | |
| learn.predict("I really liked that movie!") |
anand086
/ fastai_tabular.py
Created
July 6, 2021 06:56
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| from fastai.tabular.all import * | |
| path = untar_data(URLs.ADULT_SAMPLE) | |
| dls = TabularDataLoaders.from_csv(path/'adult.csv', path=path, y_names="salary", | |
| cat_names = ['workclass', 'education', 'marital-status', 'occupation', | |
| 'relationship', 'race'], | |
| cont_names = ['age', 'fnlwgt', 'education-num'], | |
| procs = [Categorify, FillMissing, Normalize]) | |
| learn = tabular_learner(dls, metrics=accuracy) |
anand086
/ vectors_shape_dimensions.ipynb
Created
July 15, 2021 06:19
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anand086
/ norms_distances.ipynb
Last active
July 15, 2021 06:25
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anand086
/ numpy_pytorch.ipynb
Created
July 15, 2021 06:57
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anand086
/ broadcasting.ipynb
Created
July 15, 2021 07:04
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anand086
/ fastai_mnist_full_pixel_similarity.ipynb
Last active
July 16, 2021 22:13
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anand086
/ gradient.ipynb
Last active
July 22, 2021 06:26
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