by Zainul Abideen | Jul 9, 2025
Introduction to Open-Unmix for PyTorch Open-Unmix is a cutting-edge deep learning framework designed for music source separation. Built on PyTorch, this project provides researchers, audio engineers, and artists with the tools to separate music tracks into distinct...
by Zainul Abideen | Jul 9, 2025
Introduction to Riffusion In the ever-evolving landscape of music technology, Riffusion stands out as a groundbreaking project that utilizes artificial intelligence to generate unique soundscapes. This innovative tool allows users to create music in a way that was...
by Zainul Abideen | Jul 9, 2025
Introduction to Kats Kats is an innovative open-source project developed by Facebook Research, designed to facilitate time series analysis with a focus on ease of use and flexibility. With a substantial codebase of over 114,000 lines across 302 files, Kats provides a...
by Zainul Abideen | Jul 9, 2025
Introduction to NeuralForecast The NeuralForecast library introduces a novel approach to time series forecasting through the implementation of Kolmogorov-Arnold Networks (KANs). This project benchmarks KANs against traditional models like multilayer perceptrons (MLPs)...
by Zainul Abideen | Jul 9, 2025
Introduction to Orbit Orbit is a cutting-edge Python package designed for Bayesian time series forecasting and inference. It provides a user-friendly interface that simplifies the process of initializing, fitting, and predicting time series data, all while utilizing...
