ufoym/imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
PythonMIT
Issues
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Feature Request: Force a ratio while sampling
#56 opened by aymuos15 - 1
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Doesn't work with concatenated dataset
#54 opened by gusti-alfarisy - 7
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ValueError: Cannot set a frame with no defined index and a value that cannot be converted to a Series
#51 opened by zhangjizby - 0
Does it work in Yolov5?
#52 opened by Stephen-Hao - 1
Can I use this sampler in balanced dataset?
#5 opened by marsggbo - 5
'MyDataset' object has no attribute 'get_labels'
#34 opened by kuri54 - 8
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A new sampler for your reference
#42 opened by zzw-zwzhang - 1
Subset sampling entire dataset
#36 opened by dajopr - 0
Implementation for Pytorch-geometric dataset
#43 opened by avarbella - 3
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Does val_dataset need balanced sampler?
#38 opened by Joevaen - 0
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ConcatDataset support
#37 opened by jasonbian97 - 2
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ERROR label_to_count not callable
#30 opened by samsja - 1
Too much time cost
#21 opened by nothingeasy - 3
pip install error
#12 opened by wly-ai-bj - 3
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Difference with WeightedRandomSampler
#14 opened by hossein-h - 4
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Alternative for IterableDatasets
#19 opened by MaxHalford - 1
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Unable to use the package in google colab
#15 opened by KhondokerIslam - 3
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Should apply dataset.target_transform
#6 opened by tayden - 0
better description of "epoch"
#3 opened by apple2373 - 0
No epoch exist here
#2 opened by zzc-master