Open-Unmix is a deep neural network for music source separation built with PyTorch. It provides pre-trained models that can take mixed music audio and decompose it into four stems: vocals, drums, bass, and other instruments. The models are trained on the freely available MUSDB18 dataset and target researchers, audio engineers, and artists.