🍣 SaShiMi-796 Samples
Showcase of samples from our 🍣 SaShiMi re-implementation, a deep-learning model for audio generation. Developed for METU CENG 796 Deep Generative Models course in Spring 2023.
Showcase of samples from our 🍣 SaShiMi re-implementation, a deep-learning model for audio generation. Developed for METU CENG 796 Deep Generative Models course in Spring 2023.
A demonstration that shows the advantages of using μ-law encoding instead of linear encoding when working with audio data in machine learning.
A presentation I made about this ICLR 2022 Spotlight paper.
I updated my Hexxagon implementation. See previous devlog.
Simple Python HTTP server for testing multi-threaded web applications.