Max implementation of RapidLib

Developing deep machine learning models in MaxMSP

A self contained example demonstrating how to use MediaPipe HandLandmarker with Max's jweb connected to either a live webcamera stream or using still images.

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…

Wraps MediaPipe HandPose inside electron and serves the detected parts via MaxAPI.

Max4Live device for real-time timbre transfer using RAVE models.

Implementation of MusicLM, a new text to music model published by Google, with a few modifications.

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

AudioLDM: Generate speech, sound effects, music and beyond, with text.

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.

A playbook for systematically maximizing the performance of deep learning models.

Odot wrapper for the Korg nanoKONTROL

Tools to train a generative model on arbitrary audio samples

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Examples for using the sensel object in Cycling 74 Max

Universal audio synthesizer control learning with normalizing flows

repository for motion tracking research at the HfMT