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NannyML: Revolutionizing Post-Deployment Model Performance Monitoring

by Zainul Abideen | Jul 9, 2025

Introduction to NannyML NannyML is an open-source Python library designed to estimate post-deployment model performance without needing access to targets. It enables data scientists to detect data drift and intelligently link alerts back to changes in model...

Streamline Your Data Versioning with DVC: A Comprehensive Guide to the DVC Pytest Plugin

by Zainul Abideen | Jul 9, 2025

Introduction to DVC and Its Pytest Plugin The DVC (Data Version Control) pytest plugin is an essential tool for developers looking to enhance their data versioning workflows. By integrating robust testing benchmarks, DVC allows for seamless management of data science...

Enhance Speech Detection with Silero-VAD: A Comprehensive Guide to Tuning and Implementation

by Zainul Abideen | Jul 9, 2025

Introduction to Silero-VAD The Silero-VAD project is designed to enhance the quality of speech detection through a customizable Voice Activity Detection (VAD) model. Developed with the support of the Innovation Support Fund as part of the federal project on Artificial...

Transforming Text into Speech: A Deep Dive into the Bark Project

by Zainul Abideen | Jul 9, 2025

Introduction to Bark The Bark project, developed by Suno, Inc, is an innovative open-source tool designed to convert text into high-quality audio. With its advanced prompt engineering and a robust architecture, Bark stands out in the realm of text-to-speech synthesis....

Effortlessly Separate Vocals and Instruments with Spleeter: A Comprehensive Guide

by Zainul Abideen | Jul 9, 2025

Introduction to Spleeter Spleeter is an innovative source separation library developed by Deezer. It leverages the power of TensorFlow and is designed to facilitate the separation of audio sources, such as vocals and instruments, from mixed audio tracks. With its...
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