Ayush Pareek

Sentiment-Analysis-Twitter. :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.

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

HandWritingRecognition-CNN. 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.

Consensus-Based-Summarizer. :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, generic or user-configured summaries of a large amount of unorganized text. We are currently using a number of independent text-mining algorithms based on different statistical models to compute the summaries and combining them using configurable consensus techniques.:exclamation::boom:

Two-pass-Assembler. :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 sets of instructions and different addressing modes defined in ISA. It converted Assembly Language code into Machine Language code and then using the machine language code generated executed the program. :musical_keyboard:

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

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

Multi-Document-Summarization. Neural Network based MDS

DataScienceWork. This repository contains some of my projects in Exploratory Data Analysis, Statistical Inference, Regression Models and other aspects of Practical Machine Learning

FoodGeek. :fork_and_knife::fries:Agile Software Dev. Project:coffee: Full SCRUM Workflow Reports and Professional Software Development of a Food Ordering Website.

News-Feed-and-Digest. :cow:JAVA DESKTOP APPLICATION with mySQL DB:rabbit: This application can fetch news :newspaper: in the form of summaries from news agencies around the world. The news items are categorized :book: based on topics and the user can signup for an account which will give him access to personalized news based on his preference.

RedMacDB. The NEXT-GENERATION Resilient, Elastic, Distributed, Message Driven and Concurrent Reactive Storage Service

Cool-Item-Cataloger. Item Catalog Application with Authentication, Registration and Categorization

HackerRank. C++

coursera-Advanced-Machine-Learning-specialization. Repo for coursera specialization Advanced Machine Learning by Higher School of Economics

DeepLearning.ai-Summary. This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

FoodGeek.github.io. JavaScript

HateSpeechDetector. Hate Speech Detector App using Xamarin

Deep_Learning. Deep Learning Specialization

Twilio-SMS. Twilio sms client for Node.js

MT-Assignment-2. TypeScript