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1. AD_FL_DL AD_FL_DL Public

   Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.

   Jupyter Notebook 32 14

2. sentiment_analysis_with_Bi-LSTM sentiment_analysis_with_Bi-LSTM Public

   Apply RNN for sentiment analysis.

   Jupyter Notebook 2

3. image_caption_multi-label_classification image_caption_multi-label_classification Public

   Apply EfficientNet-B4 and Bi-LSTM to classify images based on image information and caption into multiple labels.

   Jupyter Notebook 2 1

4. Multiple_Layer_Neural_Network Multiple_Layer_Neural_Network Public

   Neural network for image classification form scratch.

   Jupyter Notebook 1

5. NER NER Public

   Apply Bi-LSTM with self-attention, attached CRF for Named Entity Recognition.

   Jupyter Notebook 3 1

6. Identify-the-True-Pulsars Identify-the-True-Pulsars Public

   Aims to develop a classification model to identify whether a radio signal observed by astronomers is produced by a real pulsar.

   Jupyter Notebook