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PyTorch utilities for ML, specifically speech

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PyTorch utilities for Machine Learning. This is an eclectic mix of utilities that I've used in my various projects. There is a definite leaning towards speech, specifically end-to-end ASR. The primary benefit pydrobert-pytorch has over other packages is modularity: you can pick and choose the functionality you desire without subscribing to an entire ecosystem. You can find out more about what the package offers in the documentation links below.

This is student-driven code, so don't expect a stable API. I'll try to use semantic versioning, but the best way to keep functionality stable is by pinning the version in the requirements or by forking.



pydrobert-pytorch is available through both Conda and PyPI.

conda install -c sdrobert pydrobert-pytorch
pip install pydrobert-pytorch

Licensing and How to Cite

Please see the pydrobert page for more details.

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