Arjun Ashok ashok-arjun
arunmallya
/ matches.txt
Created
January 18, 2018 22:24
Files of CUBS test present in ImageNet train
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| American_Goldfinch_0062_31921.jpg -> n01531178_12730.JPEG | |
| Indigo_Bunting_0063_11820.jpg -> n01537544_9540.JPEG | |
| Blue_Jay_0053_62744.jpg -> n01580077_4622.JPEG | |
| American_Goldfinch_0131_32911.jpg -> n01531178_17834.JPEG | |
| Dark_Eyed_Junco_0057_68650.jpg -> n01534433_12777.JPEG | |
| Indigo_Bunting_0051_12837.jpg -> n01537544_2126.JPEG | |
| Dark_Eyed_Junco_0102_67402.jpg -> n01534433_9482.JPEG | |
| American_Goldfinch_0012_32338.jpg -> n01531178_14394.JPEG | |
| Laysan_Albatross_0033_658.jpg -> n02058221_16284.JPEG | |
| Black_Footed_Albatross_0024_796089.jpg -> n02058221_6390.JPEG |
MFreidank
/ infinite_dataloader.py
Last active
October 16, 2023 13:36
A pytorch DataLoader that generates an unbounded/infinite number of minibatches from the dataset.
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| from torch.utils.data import DataLoader | |
| class InfiniteDataLoader(DataLoader): | |
| def __init__(self, *args, **kwargs): | |
| super().__init__(*args, **kwargs) | |
| # Initialize an iterator over the dataset. | |
| self.dataset_iterator = super().__iter__() | |
| def __iter__(self): |
rahulvigneswaran
/ things_i_learnt_from_running_experiments_on_large_datasets.md
Last active
February 10, 2022 13:22