ABCDM is the tensorflow implementation of the paper: ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis.ABCDM is the tensorflow implementation of the paper: ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis.
CAER-TABSA is the pytorch implementation of the paper: Context-aware Embedding for Targeted Aspect-based Sentiment Analysis. It aims to create target and aspect representation based on sentence context for targeted aspect-based sentiment analysist.
DC-Bi-LSTM is a tensorflow implementation of the paper: Densely Connected Bidirectional LSTM with Applications to Sentence Classification.
Movie Review Data is also called MR Dataset, it is a popular sentiment classification dataset proposed by [Pang and Lee, 2005]. Each review belongs to positive or negative sentiment class and contains only one sentence.
fire-detection-from-images, this project use Yolov5 network to detect fire in images, it is implemented by PyTorch.
bert-sentiment, it is a bert transformer wrapper using pytorch. It can use google bert to
SparseR-CNN is the pytorch implementation of the paper: Sparse R-CNN: End-to-End Object Detection with Learnable
RED-CNN is the pytorch implementation of the paper: Low-Dose CT with a Residual Encoder-Decoder Convolutional