A constrainable continuator. Applications to music (mostly), text, chords, etc.

An extremely fast Python package and project manager, written in Rust.

Curated list of useful LLM / Analytics / Datascience resources

Code and materials for a 5 week AI-music course we created in 2022

Resumes generated using the GitHub informations

Fully private LLM chatbot that runs entirely with a browser with no server needed. Supports Mistral and LLama 3.

an architecture for neural network inference in real-time audio applications

Production-ready platform for agentic workflow development.

Minimalist ML framework for Rust

Guide to deploying neural networks in VST plugins, with a specific focus on embedded devices using the Elk Audio OS

📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!

A repository of AI-enhanced audio plugins written using C++, JUCE, libtorch, RTNeural and other libraries. Supports my book

Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.

Reverb parameter approximation

Muzic: Music Understanding and Generation with Artificial Intelligence

A consolidation of various compiled open-source AI image/video upscaling product for a working CLI friendly image and video upscaling program.

Audio Plugin for Audio to MIDI transcription using deep learning.

A curated list of my favourite music DSP and audio programming resources

A list of open source audio software projects (Apps, Plugins and Libraries). Please contribute more links or open source your own plugins.

Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

GUI parts library for Web application using WebComponents

Repo Network Bending Neural Vocoders

The Learning Hub for UoL's Online CS Students

Algorithmic Composition Interface

A lot of useful scripts

Command line C++ and Python VSTi Host library with MFCC, FFT, RMS and audio extraction and .wav writing.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!