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:octocat:
Welcome to my small world!
  • Sydney, Australia
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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 29 12

  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