visualizationa collection of visualization function
Stars: β 189 (+4.42%)
Mutual labels: vision, attention-mechanism
vision-apiGoogle Vision API made easy!
Stars: β 19 (-89.5%)
Mutual labels: vision
3HANAn original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)
Stars: β 29 (-83.98%)
Mutual labels: attention-mechanism
AttentionGatedVNet3DAttention Gated VNet3D Model for KiTS19ββ2019 Kidney Tumor Segmentation Challenge
Stars: β 35 (-80.66%)
Mutual labels: attention-mechanism
datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
Stars: β 20 (-88.95%)
Mutual labels: attention-mechanism
dodrioExploring attention weights in transformer-based models with linguistic knowledge.
Stars: β 233 (+28.73%)
Mutual labels: attention-mechanism
egfr-attDrug effect prediction using neural network
Stars: β 17 (-90.61%)
Mutual labels: attention-mechanism
extkerasPlayground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.
Stars: β 18 (-90.06%)
Mutual labels: attention-mechanism
domain-attentioncodes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"
Stars: β 22 (-87.85%)
Mutual labels: attention-mechanism
TinyCogSmall Robot, Toy Robot platform
Stars: β 29 (-83.98%)
Mutual labels: vision
hamnetPyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Stars: β 30 (-83.43%)
Mutual labels: attention-mechanism
abcnn pytorchImplementation of ABCNN(Attention-Based Convolutional Neural Network) on Pytorch
Stars: β 35 (-80.66%)
Mutual labels: attention-mechanism
LMFD-PADLearnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection
Stars: β 27 (-85.08%)
Mutual labels: attention-mechanism
MathSolverβ¨οΈCamera calculator with Vision
Stars: β 70 (-61.33%)
Mutual labels: vision
minimal-nmtA minimal nmt example to serve as an seq2seq+attention reference.
Stars: β 36 (-80.11%)
Mutual labels: attention-mechanism
iOS14-ResourcesA curated collection of iOS 14 projects ranging from SwiftUI to ML, AR etc.
Stars: β 85 (-53.04%)
Mutual labels: vision
Vision CoreML-AppThis app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.
Stars: β 15 (-91.71%)
Mutual labels: vision