OpenAI's GPT2 based Music AI Google Colab Notebooks for Music Generation/Composition and Capabilities Evaluation

Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.

Absolutely amazing SOTA Google Colab (Jupyter) Notebooks for creating/training SOTA Music AI models and for generating music with Transformer technology (Google XLNet/Transformer-XL)

[DEAD/NOT SUPPORTED ANYMORE] This is the only fully working and functioning version of Google Magenta Piano Transformer Colab Notebook.

A collection of Python/Sagemath Notebooks for creating algorithmic music.

A set of notebooks that explores the power of Recurrent Neural Networks (RNNs), with a focus on LSTM, BiLSTM, seq2seq, and Attention.

Absolutely incredible and fresh-pressed Google Colab Notebook to train and generate Music with the SOTA GGA-MG (AR-CNN) Hybrid Neural Network (AI).

This repository contains a short introduction on the topic of audio and speech processing -- from basics to applications.

In this notebook, I've implement a model that uses an LSTM to generate music.

Jupyter notebooks designed for the analysis of sound waves, audio, and music. The notebooks aim to facilitate research and development in Digital Signal Processing (DSP), Music Information Retrieval (MIR), and other sound-related fields. These tools are suitable for AI experts, data scientists, and engineers with a focus on audio signal processing.