rpatrik96/pytorch-lightning-wavenet
An implementation of WaveNet using PyTorch & PyTorch Lightning
This project helps researchers and machine learning practitioners work with audio and time-series data. It takes in structured sequence data, like the PennTreeBank dataset, and outputs a trained WaveNet model. This is for those who need a modern, clean implementation for tasks such as speech synthesis, music generation, or other sequence modeling applications.
No commits in the last 6 months.
Use this if you need a current, well-documented, and easy-to-use WaveNet implementation for research or application development.
Not ideal if you are not comfortable working with Python and PyTorch, or if you require an out-of-the-box solution without any coding.
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Language
Python
License
MIT
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Last pushed
Apr 23, 2020
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