This library brings Spatially-sparse convolutional networks to PyTorch. Moreover, it introduces Submanifold Sparse Convolutions, that can be used to build computationally efficient sparse ...

Addressing the issues with insufficient multi-scale feature perception and incomplete understanding of global information in traditional convolutional neural networks for image classification of wheat ...

This repository contains the code used for generating and interacting with the NASBench dataset. The dataset contains 423,624 unique neural networks exhaustively generated and evaluated from a fixed ...

A website called 'Animated AI' has been published that uses animation to explain 'Convolutional Neural Networks (CNN),' a technology widely used in the field of machine learning. The website visually ...

We propose a deep-learning-based illumination analysis and efficient local imaging method. Based on the wavefield forward modeling, seismic illumination can intuitively express the energy propagation ...