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...
by Zainul Abideen | Jul 9, 2025
Introduction to PyTorch Forecasting PyTorch Forecasting is an innovative package designed for time series forecasting using state-of-the-art deep learning architectures. Built on top of PyTorch Lightning, it provides a high-level API that simplifies the training...
by Zainul Abideen | Jul 8, 2025
Introduction to TTS The TTS project, hosted on GitHub, is an innovative open-source tool designed to convert text into natural-sounding speech. With a robust architecture and a rich set of features, TTS aims to provide developers with the tools they need to integrate...
