IEEE

Diverse Recommendations With Maximum Entropy Neighbor Selection and Graph Contrast Learning

Abstract: It has become a great challenge to balance accuracy and diversity in recommendation systems. Graph Neural Networks (GNNs), while powerful, can lead to node representation homogeneity and ...
IEEE

Adversarial Augmentation With Maximum Discrepancy for Graph Contrastive Learning

Abstract: Graph contrastive learning (GCL) has achieved remarkable success in graph self-supervised learning (SSL) through an augmenting-contrasting paradigm. Existing augmentation strategies ...
Digital Production

Nuke 17.0 rewires 3D and adds Gaussian Splats

Nuke 17.0 adds native Gaussian Splats, USD 3D system and BigCat machine learning to Foundry’s compositing pipeline.

Machine Learning for C++ developers: DMLLib and VisualDML

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...
GitHub

code/app-python-comfyui

The most powerful and modular visual AI engine and application. ComfyUI lets you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart based interface. Available on ...
Hosted on MSN

Python tutorial: Predicting maximum projectile distance when air resistance matters

Learn how to predict the maximum distance of a projectile in Python while accounting for air resistance! 🐍⚡ This step-by-step tutorial teaches you how to model real-world projectile motion using ...
NPR

This sport's athletes may be the fittest of them all, at least by one metric

Scientists have measured all kinds of athletes, and one sport consistently come out on top for maximizing the body's ability to convert oxygen to energy. We have seen tons of athletes compete at the ...