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This is a simple library for creating readable dataset pipelines and reusing best practices for issues such as imbalanced datasets. There are just two components to keep track of: `Dataset` and `Datastream`.
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## Usage
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The list below is meant to showcase functions that are useful in most standard and non-standard cases. It is not meant to be an exhaustive list. See the [documentation](https://pytorch-datastream.readthedocs.io/en/latest/) for a more extensive list on API and usage.
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The list below is meant to showcase functions that are useful in most standard and non-standard cases. It is not meant to be an exhaustive list. See the [documentation](https://nextml-code.github.io/pytorch-datastream) for a more extensive list on API and usage.
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```python
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Dataset.from_subscriptable
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### More usage examples
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See the [documentation](https://pytorch-datastream.readthedocs.io/en/latest/) for more usage examples.
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See the [documentation](https://nextml-code.github.io/pytorch-datastream) for more usage examples.
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