Popular GitHub Repositories for Squeeze

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)

ADHDeepNet is a model that integrates temporal and spatial characterization, attention modules, and explainability techniques, optimized for EEG data ADAD diagnosis. Neural Architecture Search (NAS), Hyper-parameter optimization, and data augmentation are also incorporated to enhance the model's performance and accuracy.

GAiA is a UCI chess engine built with C++ 17, ONNX and Pytorch. It performs an in-depth analysis and uses a complex squeeze-and-excitation residual network to evaluate each chess board.

Implementation of different attention mechanisms in TensorFlow and PyTorch.

An adaptation of Reformer: The Efficient Transformer for text-to-speech task.

Attention Squeeze U-Net

PyTorch implementation of LS-CNN: Characterizing Local Patches at Multiple Scales for Face Recognition

Implementation of various channel-wise attention modules

KL severity grading using SE-ResNet and SE-DenseNet architectures trained with Cross Entropy loss and Focal Loss. The hyperparameters of focal loss have been fine-tuned as well. Further, Grad-CAM has been implemented for visualization purposes.

CIFAR-10 Image Classifier with PyTorch and Streamlit