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Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
An Open Source Machine Learning Framework for Everyone
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
A sound synthesis framework for Python, designed for clear and concise expression of musical ideas
Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
A Python package for creating and manipulating musical patterns, designed for use in algorithmic composition, generative music and sonification. Can be used to generate MIDI events, MIDI files, OSC…
Cross platform plugin testing and validation tool
♾ A Graph Visualization Framework in JavaScript.
Clean Jupyter notebooks for version control. Remove metadata, outputs, and execution counts with Git and pre-commit support.
Monospaced font family for user interface and coding environments
This is a list of interesting papers and projects about TinyML.
C++ library for audio and music analysis, description and synthesis, including Python bindings
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
Graph-oriented live coding language and music/audio DSP library written in Rust
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
A straightforward collection of Music Generation research resources.
A repository for generating and training short audio samples with unconditional waveform diffusion on accessible consumer hardware (<2GB VRAM GPU)
Nendo is an open source platform for AI-driven audio management, intelligence, and generation.
A timeline of the latest AI models for audio generation, starting in 2023!
Audio generation using diffusion models, in PyTorch.
Tools to train a generative model on arbitrary audio samples
Hook up MIDI software and hardware and pass MIDI data between them, applying assorted filters on the way.
Vitek's interactive music generation project, aiming at real-time speeds and interaction with deep learning!