Controllable Music Production with Diffusion Models and Guidance Gradients

no code implementations • 1 Nov 2023 • Mark Levy, Bruno Di Giorgi, Floris Weers, Angelos Katharopoulos, Tom Nickson

We demonstrate how conditional generation from diffusion models can be used to tackle a variety of realistic tasks in the production of music in 44. 1kHz stereo audio with sampling-time guidance.

GPflow: A Gaussian process library using TensorFlow

1 code implementation • 27 Oct 2016 • Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, James Hensman

GPflow is a Gaussian process library that uses TensorFlow for its core computations and Python for its front end.

Gaussian Processes Variational Inference