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1. 4-simple-steps-in-Builiding-OCR 4-simple-steps-in-Builiding-OCR Public

   Optical character recognition (OCR) is process of classification of opti- cal patterns contained in a digital image. The character recognition is achieved through segmentation, feature extraction a…

   Jupyter Notebook 40 12

2. Extending-Google-BERT-as-Question-and-Answering-model-and-Chatbot Extending-Google-BERT-as-Question-and-Answering-model-and-Chatbot Public

   BERT Question and Answer system meant and works well for only limited number of words summary like 1 to 2 paragraphs only. It can’t be able to answer well from understanding more than 10 pages of d…

   Python 112 34

3. Semantic-Feature-generation-for-words Semantic-Feature-generation-for-words Public

   Building a Natural language Responsive system by Preprocessing(removing stop words , numbers, urls and stemmming ) raw text, generating features for words, Extracting Entities(Named Entity Recognit…

   HTML 10 3

4. Fausi-email-prioritization Fausi-email-prioritization Public

   Text preprocessing by removing stop words, URLs and Numbers which will not give much meaning to sentence. Creating a Feature Vector for each word in the Review by taking the word meaning from dicti…

   Jupyter Notebook 2

5. Crowd-Counting-CNN-density-based Crowd-Counting-CNN-density-based Public

   Project is to count the number group of people in an image and to count number of persons associated with each group. Here two enhanced Convolutional models have used in building effective crowd co…

   Jupyter Notebook 2 1

6. CarND-Behavioral-Cloning-P3 CarND-Behavioral-Cloning-P3 Public

   Forked from udacity/CarND-Behavioral-Cloning-P3

   Starting files for the Udacity CarND Behavioral Cloning Project

   Python