by Zainul Abideen | Jul 10, 2025
Introduction to Doccano Doccano is an open-source annotation tool designed to facilitate the labeling of data for machine learning projects. With its user-friendly interface and robust features, Doccano empowers developers and data scientists to annotate text, images,...
by Zainul Abideen | Jul 10, 2025
Introduction to CVAT-CANVAS-3D The CVAT-CANVAS-3D module is a powerful tool designed for viewing, drawing, and editing 3D annotations. Built using TypeScript, this module provides a robust canvas interface that enhances the annotation experience for developers and...
by Zainul Abideen | Jul 10, 2025
Introduction to Pyro Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. It enables developers to create complex probabilistic models with ease, making it a powerful tool for machine learning and statistical inference. Main Features...
by Zainul Abideen | Jul 10, 2025
Introduction to NumPyro NumPyro is a probabilistic programming library that leverages the power of JAX for scalable and flexible Bayesian modeling. It provides a simple and intuitive interface for building complex probabilistic models, making it an essential tool for...
by Zainul Abideen | Jul 10, 2025
Introduction to TensorFlow Probability TensorFlow Probability (TFP) is a powerful library that extends TensorFlow to enable probabilistic reasoning and statistical analysis. This blog post focuses on the turnkey MCMC sampling feature, which simplifies the process of...
