python-hub

EP1: How Netflix’s MediaFM Understands Movies Using AI

How Netflix’s MediaFM Understands Movies Using AI. Hello there, I love reading and learning in general. But I know that a lot ...
InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
IEEE

Benchmark Text Preprocessing Techniques in Natural Language Processing

Abstract: Text preprocessing is a key step in Natural Language Processing (NLP) that deals with the cleaning, tokenization and structure of text before building models. A comparison of the recent ...
IEEE

Compression-Based Complexity Analysis of Thalamic EEG Using Multiscale Preprocessing Techniques

Abstract: Quantifying the complexity of biomedical signals offers critical insight into underlying physiological and pathological dynamics. This study systematically evaluates compression-based ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...
GitHub

XRay SuperRes Enhancer – FastAPI Service for Super-Resolution and Denoising of Medical X-ray Images

This project supports all types of 2D medical X-ray images, including chest, dental, and others. It performs super-resolution and denoising using a RealESRGAN-based model. The application supports ...