TensorSpace is a neural network 3D visualization framework built by TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, ...

TensorSpace is a neural network 3D visualization framework built using TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models ...

TensorSpace.js provides an open source browser-based neural network data visualization framework to complement the growing machine learning landscape by supporting pre-trained models created with ...

D3.js's force layout is beneficial for network visualization because it dynamically arranges nodes and links using physical simulations, making complex networks more comprehensible and interactive.

Processing (and therefore, Processing.js) goes beyond data visualization, providing both 2D and 3D graphics commands, and permitting the creation of animations, interactive digital artwork, and ...

We are developing a network visualization technique which overlays a node-link diagram for visualizing the connectivity and a set visualization for representing the label information. Our technique ...

Simulating a signal propagation of wireless cognitive network has been widely accepted by researchers in order to come out with three-dimensional (3D) representation data display. Instead of using ...