🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Deezer source separation library including pretrained models.
A PyTorch-based Speech Toolkit
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
BirdNET analyzer for scientific audio data processing.
:mega: Python library for audio augmentation