Demucs is an open-source neural network model family designed for music source separation, which decomposes mixed audio recordings into component stems such as vocals, drums, and bass. The latest version, Hybrid Transformer Demucs, employs a hybrid architecture combining time-domain and frequency-domain processing through dual U-Nets connected by cross-domain transformer encoders with sparse attention mechanisms.