This is my implementation of the Residual Network architecture in PyTorch as described in the 2015 paper Deep Residual Learning for Image Recognition. 1 It replicates a portion of their CIFAR-10 ...

A PyTorch implementation of Manifold-Constrained Hyper-Connections (mHC) based on the DeepSeek-AI paper. deepseek-mhc/ ├── mhc/ # Core mHC implementation │ ├── sinkhorn.py # Sinkhorn-Knopp algorithm │ ...

In yet another software supply chain attack, threat actors have managed to compromise the popular Python package Lightning to push two malicious versions to conduct credential theft. As of writing, ...

Abstract: Deep neural networks have been widely used in remote sensing image segmentation. Nowadays, artificial intelligence methods are increasingly applied to remote sensing feature classification.

Abstract: To tackle the challenges of insufficient global context modeling, blurred object boundaries, and inefficient cross-layer feature fusion in high-resolution urban remote sensing image semantic ...