Reverse Dependencies of pretty_midi

The following projects have a declared dependency on pretty_midi:

• asmd — Audio-Score Meta-Dataset
• basic-pitch — Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection.
• broken-source — Broken Source Software Framework
• compoyse — Generate music compositions
• cosmodoit — Tools suite for music perfomance analysis
• crepe-notes — Post-processing for CREPE to turn f0 pitch estimates into discrete notes e.g. MIDI
• dodecaphony — Algorithmic composition of twelve-tone fragments.
• fortepyan — Process MIDI piano with (almost) no pain
• geniartor — Music composition by optimizing of evaluational scores.
• graphite-datasets — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• libfmp — Python module for fundamentals of music processing
• magenta — Use machine learning to create art and music
• magenta-gpu — Use machine learning to create art and music
• markov-groove — Generate drum loops by using hidden markov chains.
• mdpw — Generate MIDI file from Array of Array data.
• midi-ddsp — Synthesis of MIDI with DDSP
• midi-point-set — Convert MIDI files to point set representation.
• midi-to-noteblock — A CLI to convert midi files into world edit schematic files.
• midiplot — Python MIDI plotting and analysis
• midiSynth — no summary
• mirdata — Common loaders for MIR datasets.
• mscales — Python package to generate and analyze musical scales.
• museflow — Music sequence learning toolkit
• musicaiz — A python framework for symbolic music generation, evaluation and analysis
• musicir — Music Information Retrieval
• musicXML-synthesizer — A package to transform solola output to standard musicXML format
• musing — A Music theme lib for human
• muspy — A toolkit for symbolic music generation
• note-seq — Use machine learning to create art and music
• omnizart — Omniscient Mozart, being able to transcribe everything in the music.
• peamt — PEAMT: a Perceptual Evaluation metric for Automatic Music Transcription
• perceiver-io — Perceiver IO
• pycomposer — pycomposer is Python library for Algorithmic Composition or Automatic Composition based on the stochastic music theory and the Statistical machine learning problems. Especialy, this library provides apprication of the Algorithmic Composer based on Generative Adversarial Networks(GANs) and Conditional Generative Adversarial Networks(Conditional GANs).
• pygmidi — Python General MIDI representation for symbolic music data analysis
• pymixer — A library for mixing input MIDI and/or WAV files to output WAV files.
• pyMV2H — A python implementation of MV2H metric
• pypianoroll — A toolkit for working with piano rolls
• pytunesmith — PyTuneSmith: A Python library for creating and manipulating music.
• rl-musician — Composition of music with reinforcement learning.
• robopianist — A benchmark for high-dimensional robot control
• rstojnic-tfds-nightly — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• sinethesizer — A standalone synthesizer that is controlled through text files in an extendable way
• slakh-dataset — Unofficial PyTorch dataset for Slakh
• synctoolbox — Python Package for Efficient, Robust, and Accurate Music Synchronization (SyncToolbox)
• synthviz — renders cool piano videos from file
• tensorflow-datasets — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• tfds-nightly — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• tfds-nightly-gradient — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
• tuttut — A package to convert MIDI files to string instrument tabs.
• Visual-MIDI — Converts a pretty midi sequence to a boket plot
• wavescapes — Python library to build wavescapes, plots used in musicology.