Overview PyTorch courses focus strongly on real-world Deep Learning projects and production skills.Transformer models and NLP training are now core parts of mos ...

Abstract: With the widespread application of pre-trained language models (PLMs) in the field of natural language processing (NLP), their performance in multiple tasks has reached a new level of ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

A deep learning–based system for detecting employee drowsiness during virtual meetings using facial cues like yawning and eye closure. Built with ResNet50V2 and fine-tuned on diverse, augmented ...

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Abstract: Much progress in NLP has happened in recent years and most of that progress is driven by data-rich languages. The absence of sufficient data in many low-resource languages causes many issues ...