by Zainul Abideen | Jul 9, 2025
Introduction to Giskard Giskard is an innovative open-source project aimed at transforming the landscape of machine learning testing. With a robust codebase of 231,153 lines across 795 files, Giskard provides developers with the tools necessary to implement effective...
by Zainul Abideen | Jul 9, 2025
Introduction to Demucs Demucs is a cutting-edge music source separation model developed by Facebook Research, designed to extract individual components from audio tracks, such as vocals, drums, and bass. Utilizing a Hybrid Transformer architecture, Demucs represents a...
by Zainul Abideen | Jul 9, 2025
Introduction to PyTorch Geometric PyTorch Geometric (PyG) is a library built on top of PyTorch that facilitates deep learning on irregular structures such as graphs and point clouds. With its extensive functionality, PyG is designed to handle complex data structures,...
by Zainul Abideen | Jul 9, 2025
Welcome to Spektral Spektral is a Python library designed for graph deep learning, built on the Keras API and TensorFlow 2. Its primary goal is to provide a simple yet flexible framework for creating graph neural networks (GNNs). With Spektral, you can tackle various...
by Zainul Abideen | Jul 9, 2025
Introduction to PyTorch Captum PyTorch Captum is an open-source library designed to provide insights into machine learning models, particularly those built with PyTorch. It enables developers to understand the decisions made by their models through various...
