Ayush Pareek

This CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle.

ayushoriginal

:mortar_board:RESEARCH [NLP :speech_balloon:] This is an implementation of "Automatic Consensus-Based Text Summarizer" along with text-organizing capabilities that can generate genre-specific, generi...

ayushoriginal

Neural Network based MDS

ayushoriginal

This is a python and keras implementation of the VIS+LSTM visual question answering model.

ayushoriginal

:mortar_board:RESEARCH [NLP] Analysis of N-gram Graphs and their applications in the domain of Text Classification and Extraction based Summarization

ayushoriginal

This API gives closest approximation of an RGB value to a set of color names. It is highly optimized for performance and scalability.

ayushoriginal

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

ayushoriginal

:computer:COMPUTER ARCHITECTURE:credit_card: Designed a 32-bit ISA and implemented a two pass assembler using C code to demonstrate how assembly language computation occurs with the help of different...

ayushoriginal