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README.md

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# torchsignal: a signal processing library for PyTorch
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The torchsignal package consists of datasets, model architectures, and common signal processing functions before applying on PyTorch. A toolbox for data manipulation and transformation for signal processing.
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## Installation
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Currently, this has not been released. Use Git or checkout with SVN, and install the dependencies:
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We aim to bridge the gap for anyone who are new signals processings to get started.
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- [What Are Signals?: An Introduction to Signals](https://github.com/jinglescode/torchsignal/wiki/What-Are-Signals%3F)
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- [Generate Signals](https://github.com/jinglescode/torchsignal/wiki/Generate-Signals)
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- [Butterworth Filter](https://github.com/jinglescode/torchsignal/wiki/Butterworth-Filter)
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## Contributing Guidelines
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We do not host or distribute these datasets, vouch for their quality or fairness, or claim that you have license to use the dataset. It is your responsibility to determine whether you have permission to use the dataset under the dataset's license.
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If you're a dataset owner and wish to update any part of it (description, citation, etc.), or do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thanks for your contribution to the ML community!
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If you're a dataset owner and wish to update any part of it (description, citation, etc.), or do not want your dataset to be included in this library, please get in touch through a GitHub issue. Thanks for your contribution to the ML community!

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