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CLIP4Clip
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"DOER
The implementation of ACL 2019 paper DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-ExtractionLLE_Algorithm
locally linear embedding algorithm code write by matlabVideoFeatureExtractor
Video Feature Extractor for S3D-HowTo100MGRACE
The impletation of paper titled GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment AnalysisFCMFrame
FCM visualization by Java awtBiDTree
The implementation of TASLP 2019 paper Improving Aspect Term Extraction with Bidirectional Dependency Tree RepresentationSpectral_cluster_matlab
Spectral cluster matlab demoDE-CNN-TF
The tensorflow version of DE-CNNAdaboost
Boosting is a class of machine learning methods based on the idea that a combination of simple classifiers (obtained by a weak learner) can perform better than any of the simple classifiers alone.Love Open Source and this site? Check out how you can help us