The head node is connected to a workstation via USB 1.1 allowing the system to be controlled with a Python script. It turns out that the work of distributing the data dwarfs the compute by three ...

MOFGalaxyNet aims to create a social network for Metal-Organic Frameworks (MOFs) and predict their properties using Graph Convolutional Networks (GCN). It fosters collaboration and exploration in the ...

Image Classification uses a blend of C++ and Python for efficient preprocessing of image datasets. This setup helps organize images into pixel folders and generates text files for object counts, ...

We support and provide wheels for Python 3.8, 3.9, 3.10, 3.11, and 3.12; Both 32 and 64 bits, for Windows, macOS, and most versions of Linux. These wheels now come bundled with the required C++ ...

The method combines space-to-depth and non-strided convolution (SPD-Conv) and a small target detector head, and also integrates a simple, parameter-free attentional mechanism (SimAM) that ...

To address this gap, we propose a novel point-based multiscale spatial Convolution-Swin Transformer network (Point-SCT). Point-SCT combines convolutional local geometric detail capture with global ...

Furthermore, we improve this simple alignment procedure by using the alignment themselves as features in the convolution, and by combining multiple alignments together. With this core layer, we design ...