Kinyugo Maina
ML Engineer & Researcher
Biography
Hello, I’m Kinyugo Maina, a Machine Learning Engineer and Researcher specializing in Generative AI. With a background in Computer Science, I create AI-driven solutions across virtual try-on, music synthesis, and virtual product photography, leveraging deep learning to tackle real-world challenges. I'm passionate about advancing Generative AI and contributing to this growing field.
Contact
Featured Publications
Kinyugo Maina - Independent Researcher
kinyugomaina@gmail.comIn this paper, we present Msanii, a novel diffusion-based model for synthesizing long-context, high-fidelity music efficiently. Our model combines the expressiveness of mel spectrograms, the generative capabilities of diffusion models, and the vocoding capabilities of neural vocoders. We demonstrate the effectiveness of Msanii by synthesizing tens of seconds (190 seconds)...
Featured Projects
Official implementation of the Msanii paper. The paper introduces a novel diffusion based model for audio synthesis. It outperforms existing diffusion models in terms of fidelity, long-term coherence and efficiency.
odewel (/əʊdwel/) is a library that can optimize machine learning models for better efficiency by loading weights only when needed for computation. This makes the models leaner and more nimble, and allows them to run on any hardware, regardless of its size or the hardware capabilities.