by Zainul Abideen | Jul 10, 2025
Introduction to ydata-synthetic The ydata-synthetic project is designed to help developers generate synthetic data for various applications, including testing, training machine learning models, and more. With a robust codebase of 127,538 lines across 130 files, this...
by Zainul Abideen | Jul 10, 2025
Introduction to CleanLab CleanLab is an innovative library designed to assist data scientists and machine learning practitioners in identifying and correcting issues within their datasets. With a focus on enhancing data quality, CleanLab provides a suite of tools that...
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...
