Showing 1-6 of 6 projects
A PyTorch library that implements various attention mechanisms and other neural network components for visual tasks.
A high-performance GIF encoder that squeezes maximum quality from the GIF format, useful for developers working with animations.
A PyTorch implementation of Squeeze-and-Excitation Networks, a CNN architecture that enhances feature expressiveness.
PyTorch implementation of the Squeeze-and-Excitation Network (SENet) architecture for deep learning models.
Classification models trained on ImageNet, for use in computer vision and image classification tasks.
GCNet is a deep learning library for computer vision tasks like instance segmentation and object detection.
Get weekly updates on trending AI coding tools and projects.