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Master Bayesian Time Series Forecasting with Orbit: A Comprehensive Guide

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...

Revolutionize Time Series Forecasting with PyTorch Forecasting: A Comprehensive Guide

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...

Transforming Text to Speech: A Deep Dive into the TTS Project on GitHub

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...

Streamlining Model Documentation with Open Model Zoo’s Documentation Updater

by Zainul Abideen | Jul 8, 2025

Introduction The Open Model Zoo (OMZ) is a powerful toolkit designed to facilitate the use of deep learning models across various frameworks. One of its standout features is the Documentation Updater, a script that automates the process of updating model descriptions...

Transforming Images with PyTorch: A Deep Dive into CycleGAN and Pix2Pix Implementations

by Zainul Abideen | Jul 8, 2025

Introduction to CycleGAN and Pix2Pix CycleGAN and Pix2Pix are powerful frameworks for image-to-image translation, enabling the transformation of images from one domain to another without paired examples. This blog post explores the PyTorch implementation of these...
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