mcomunita/nablafx
nablafx
Framework for differentiable black-box and gray-box audio effects modeling
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mcomunita
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Dec 17, 2024
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NablaFX is a Python framework designed for differentiable modeling of audio effects, supporting both black-box and gray-box approaches. The framework enables gradient-based optimization and machine learning techniques to be applied to audio processing and effects modeling. It provides tools for creating differentiable versions of traditional audio effects that can be integrated into neural networks and other ML pipelines.
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Updated 5 months ago
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- Project created
- Dec 17, 2024
- Forked
- Nov 8, 2025
- Your last push
- 5 months ago
- Upstream last push
- 5 months ago
- Tracked since
- Nov 8, 2025
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