GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
GitHub

Medical AI Research Foundations

Supervised representation learning on a large-scale dataset of labeled natural images Self-supervised contrastive representation learning on an unlabeled dataset of in-distribution medical images ...
Research Snipers

Your AI Strategy Is Only as Good as the Data Scientist Behind It, Here’s Why You Can’t Afford to Hire One Locally in 2026

The interviews drag. The salaries demanded are eye-watering. The shortlist keeps shrinking. And somewhere between the third round of negotiations and the fourth declined offer, it dawns on you: the ...
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 ...
IEEE

TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications

Abstract: As machine learning (ML) has seen increasing adoption in safety-critical domains (e.g., autonomous vehicles), the reliability of ML systems has also grown ...