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3d-attention-keras

This repo contains the 3D implementation of the commonly used attention mechanism for imaging.

al

Cost-Effective Active Learning for Deep Image Classification

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

amazing-semantic-segmentation

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

arelu

AReLU: Attention-based-Rectified-Linear-Unit

attention-mechanism-implementation

Self-attention、Non-local、SE、SK、CBAM、DANet

awesome-fast-attention

list of efficient attention modules

brain-tumor-classification-with-efficient-net-and-grad-cam-visualization

Brain Tumor Classification with Efficient Net Convolutional Neural Network (CNNs)

cbam-keras

CBAM implementation on Keras

cbam_cnn_architectures_image_classification

Spatial and Channel Attention in CNN Architectures for Image Classification task

complete-data-science

This repository contains everything you need to become proficient in Data Science

dcgan

deep-neural-networks-healthcare

Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More

dualstylegan

[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

eeg-transformer

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

efficientnet-attention-in-a-siamese-network

Siamese neural network based Covid-19 Pneumonia classification using EfficientNet with attention mechanism

enhanced_anomaly_detection_in_pandemic_surveillance_videos

The Canon EOS 600D is lauded for its versatile video features, including Full HD recording and manual controls. It's employed in creating a dataset for anomaly detection, comprising eight activities captured in 18 one-minute videos each.

epsanet

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

flexible-yolov5

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

hands-on-reinforcement-learning-with-python

Hands-On Reinforcement Learning with Python, published by Packt

hybridmodel-gradcam

An implementation of hybrid efficientnet swin transformer model.

medium_notebook

Repository containing notebooks of my posts on Medium

motr

multi-attention

Implementation of Multi-Attention, consist of CBAM and DeepMoji

plankiformer

pyramidnet-pytorch

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

sareerulamin.github.io