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Anomaly-Detection-using-Pretrained-NN-and-Autoencoders
Anomaly-Detection-using-Pretrained-NN-and-Autoencoders PublicThis 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…
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Anomaly-Detection-using-Feed_forward-Neural-Network
Anomaly-Detection-using-Feed_forward-Neural-Network PublicHere I am re-using the unsupervised anomaly detection algorithm but turn it into a simpler feed forward neural network for supervised classification.
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Covid19_Chatbot
Covid19_Chatbot PublicThis 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.
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face-recognition-using-opencv
face-recognition-using-opencv PublicFace 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…
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TrafficControlApplicaion
TrafficControlApplicaion PublicUsing Deep learning techniques for road detection and vehicle detection
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Traffic-Sign-Classifier-using-Deep-Learning
Traffic-Sign-Classifier-using-Deep-Learning PublicThe model is developed using scratch. Can be useful for self driving vehicles to reckon roads and signalling.
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