Katana 9 with UsdSuperLayer brings native USD editing and Hydra 2 viewer support to Foundry Katana for lighting pipelines.

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

INGLEWOOD, Calif. – Once upon a time – in high school, to be exact – current Rams defensive end Kobie Turner played tight end. He put that catching experience to good use last week with his first ...

🔧 Combine feature selectors with classifiers and regressors in a seamless pipeline using scikit-learn compatible meta-estimators for enhanced machine learning.

Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Abstract: The quality of features plays an important role in the performance of recommender systems. Recognizing this, feature selection has emerged as a crucial technique in refining recommender ...

Abstract: Feature selection (FS) is a critical step in machine learning (ML) applications, particularly in the maritime transportation domain, where large-scale data from sensors, weather conditions, ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python ...