Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
Generate audio from text or improve audio quality using advanced machine learning techniques.
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Free · no card · unsubscribe anytimeImplementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
audiolm-pytorch has 2.6k stars on GitHub. It has been forked 278 times. audiolm-pytorch is written mainly in Python. It has been in active development since 2022. audiolm-pytorch is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanisms, audio-synthesis, deep-learning.
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
audiolm-pytorch is an open-source project. It is released under the MIT license.
Yes. audiolm-pytorch is free and open source — you can use, modify and self-host it.
audiolm-pytorch is available under the MIT license.
audiolm-pytorch is written mainly in Python.
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