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# RAVE Models by Tangible Music Lab
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This is a collection of RAVE (Realtime Audio Variational autoEncoder) models trained by the Tangible Music Lab for audio generation and transformation. The aim of this repository is to provide musicians with pre-trained models for building embedded RAVE models on the Raspberry Pi platform or similar, for physical hardware and tangible interface development for sound and music experimentation. These models enable real-time audio manipulation and generation while being optimized for resource-constrained environments, making them ideal for interactive musical instruments and sound installations.
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## Model Details
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- **Developed by:** Tangible Music Lab
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- **Model type:** RAVE (Realtime Audio Variational autoEncoder)
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- **License:** MIT
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- **Repository:** https://huggingface.co/TangibleMusicLab/rave-models
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- **Training Code:** https://github.com/victor-shepardson/RAVE
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## Uses
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These models are designed for real-time audio generation and transformation. They can be used with:
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- nn~
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license: mit
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---
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# RAVE Models by Tangible Music Lab
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This is a collection of RAVE (Realtime Audio Variational autoEncoder) models trained by the Tangible Music Lab for audio generation and transformation. The aim of this repository is to provide musicians with pre-trained models for building embedded RAVE models on the Raspberry Pi platform or similar, for physical hardware and tangible interface development for sound and music experimentation. These models enable real-time audio manipulation and generation while being optimized for resource-constrained environments, making them ideal for interactive musical instruments and sound installations.
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## Model Description
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- **Developed by:** Tangible Music Lab
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- **Model type:** RAVE (Realtime Audio Variational autoEncoder)
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- **License:** MIT
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## Model Sources
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- **Repository:** https://huggingface.co/TangibleMusicLab/rave-models
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- **Training Code:** https://github.com/victor-shepardson/RAVE
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## Direct Use
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These models are designed for real-time audio generation and transformation. They can be used with:
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- nn~
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