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Data manipulation and transformation for audio signal processing, powered by PyTorch
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Latest capture 2026-07-01 03:03
7 captures since 2026-05-22
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Scanned 2026-07-01 03:03
pyproject.toml
python ecosystem,
0 dependencies
requirements.txt
python ecosystem,
2 dependencies
setup.cfg
python ecosystem,
0 dependencies
setup.py
python ecosystem,
0 dependencies
docs/requirements.txt
python ecosystem,
8 dependencies
examples/libtorchaudio/CMakeLists.txt
c-cpp ecosystem,
1 dependency
examples/avsr/data_prep/requirements.txt
python ecosystem,
4 dependencies
examples/libtorchaudio/speech_recognition/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
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Models, data loaders and abstractions for language processing, powered by PyTorch
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
A generative speech model for daily dialogue.
A single Gradio + React WebUI with extensions for ACE-Step, OmniVoice, Kimi Audio, Piper TTS, GPT-SoVITS, CosyVoice, XTTSv2, DIA, Kokoro, OpenVoice, ParlerTTS, Stable Audio, MMS, StyleTTS2, MAGNet, AudioGen, MusicGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, and Bark!
Generative models for conditional audio generation
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
