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  1. Anomaly-Detection-using-Pretrained-NN-and-Autoencoders Anomaly-Detection-using-Pretrained-NN-and-Autoencoders Public

    This is implementation of Anomaly detection problem in case of Image dataset. The dataset have two classes as cloud and Non-cloud. Where non-cloud is normal behavior and cloud is anomaly which we w…

    Jupyter Notebook 2

  2. Anomaly-Detection-using-Feed_forward-Neural-Network Anomaly-Detection-using-Feed_forward-Neural-Network Public

    Here I am re-using the unsupervised anomaly detection algorithm but turn it into a simpler feed forward neural network for supervised classification.

    Jupyter Notebook 1

  3. Covid19_Chatbot Covid19_Chatbot Public

    This is basic implementation of Chatbot using python and NLTK strategies. Basically I am using word tokenization method to extract answers close to the keywords used in questions by user.

    Jupyter Notebook 1

  4. face-recognition-using-opencv face-recognition-using-opencv Public

    Face detection is a computer vision technology that helps to locate/visualize human faces in digital images. This technique is a specific use case of object detection technology that deals with det…

    Jupyter Notebook 1

  5. TrafficControlApplicaion TrafficControlApplicaion Public

    Using Deep learning techniques for road detection and vehicle detection

    Jupyter Notebook

  6. Traffic-Sign-Classifier-using-Deep-Learning Traffic-Sign-Classifier-using-Deep-Learning Public

    The model is developed using scratch. Can be useful for self driving vehicles to reckon roads and signalling.

    Jupyter Notebook