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  1. groupmm/df0 groupmm/df0 Public

    This is a Python package containing Pytorch implementations of differentiable variants of classical fundamental frequency estimators (dYIN and dSWIPE).

    Jupyter Notebook 13

  2. groupmm/f0-mlf groupmm/f0-mlf Public

    Official Pytorch implementation of the fundamental frequency estimator described in "Robust and Lightweight F0 Estimation Through Mid-Level Fusion of DSP-Informed Features", ICASSP 2026.

    Python 14 2

  3. groupmm/dcrf groupmm/dcrf Public

    PyTorch implementation accompanying the paper "On the Use of Differentiable Viterbi Decoding for Linear-Chain CRFs", EUSIPCO 2026.

    Python

  4. groupmm/PCPT groupmm/PCPT Public

    Preparation Course PyTorch Notebooks

    Jupyter Notebook 14

  5. groupmm/PCP groupmm/PCP Public

    Preparation Course Python Notebooks

    HTML 46 11

  6. groupmm/onsets_frames_semisup groupmm/onsets_frames_semisup Public

    Code for the paper "Semi-Supervised Piano Transcription Using Pseudo-Labeling Techniques", ISMIR 2024

    Python 3