Lab Materials for MIT 6.S191: Introduction to Deep Learning
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Updated
Feb 27, 2023 - Jupyter Notebook
Lab Materials for MIT 6.S191: Introduction to Deep Learning
An AI for Music Generation
Resources on Music Generation with Deep Learning
Train an LSTM to generate piano or violin/piano music.
"Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions", ACM Multimedia 2020
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
A toolkit for symbolic music generation
Convenient MIDI / symbolic music tokenizers for Deep Learning networks
Experiment diverse Deep learning models for music generation with TensorFlow
a list of demo websites for automatic music generation research
A complete Midi-based framework for automatic backing tracks generation.
A paper and project list about the cutting edge Speech Synthesis, Text-to-Speech (TTS), Singing Voice Synthesis (SVS), Voice Conversion (VC), Singing Voice Conversion (SVC), and related interesting works (such as Music Synthesis, Automatic Music Transcription, Automatic MOS Prediction, SSL-based ASR...etc).
This is the dataset repository for the paper: POP909: A Pop-song Dataset for Music Arrangement Generation
RaveForce - An OpenAI Gym style toolkit for music generation experiments.
MusicTransformer written for MaestroV2 using the Pytorch framework for music generation
PyTorch implementation of MuseMorphose (published at IEEE/ACM TASLP), a Transformer-based model for music style transfer.
The "Hands-On Music Generation with Magenta" book code repository and info resource
Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
generates music (midi files) using a Tensorflow RNN
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