State of the Art of Music Generation with Deep Learning and AI
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Updated
Mar 16, 2023
State of the Art of Music Generation with Deep Learning and AI
Music(Lo-fi) generation using deep learning techniques.
Music remixer based on MusicGen-Chord
SOTA Google's Perceiver-AR Music Transformer Implementation and Model
Chord conditioning implemented MusicGen
This is a cog implementation of the fine-tuner for Meta's MusicGen
A Bach music generator with Artificial Intelligence. This model is made by a VQ-VAE + Transformer (decoder-only). Sequences of midi 1 quarter length are compressed into 16 codebooks via VQ-VAE and a transformer learns how to generate the codebooks sequence to obtain a midi score.
[DEPRECEATED] Morpheus Music AI implementation spin-off :)
Multi-Instrument music generation using C-RNN-GAN with MIDI format input 🎼
Algorithmic and AI MIDI Drums Generator Implementation
A pytorch Implementation of VAE-based musical model to generate and interpolate piano'notes using Nottingham dataset.
The project focuses on automatic music generation. It was done during Bachelor Thesis at VGU in 2023.
Code and demo for paper: Zhao et al., "Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement," IJCAI 2023
Developed a music generation deep learning model using WGAN-GP and self-attention, aimed at creating melodic compositions.
Music generation using a Long Short-Term Memory (LSTM) neural network. The gennhausser project uses TensorFlow and music21 libraries to create a synthetic dataset, train an LSTM model, and generate music sequences.
Generate Piano music using LSTM-based musical model.
Here I have done various feature extractions upon audio samples, and this repository also contains all the work I have done in audio analysis. The aim of this repository is to host the methods need in other audio-analysis-projects that I would be doing hence forward.
LSTM-Based Music Generator
AI Powered Music Generation
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