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aspect-document-similarity

Implementation, trained models and result data for the paper "Aspect-based Document Similarity for Research Papers" #COLING2020

assignment-4

CSE 390/590

cross-annotation-tool

Cross Annotation Tool

cse-544-project

CSE 544 - Probability and Statistics Project

debezium-examples

Examples for running Debezium (Configuration, Docker Compose files etc.)

fantasy-premier-league

Creates a .csv file of all players in the English Player League with their respective team and total fantasy points

fpl-simulator

hands-on-design-patterns-with-cpp

Hands-On Design Patterns with C++, published by Packt

kubernetes-ci-cd

https://www.linux.com/blog/learn/chapter/Intro-to-Kubernetes/2017/5/set-cicd-pipeline-kubernetes-part-1-overview

leetcode

Leetcode solutions

litbank

Annotated dataset of 100 works of fiction to support tasks in natural language processing and the computational humanities.

machine-translation

Built a custom deep neural network model using layers like simple RNNs, Bidirectional RNNs and RNNs with embedding, that functions as part of an end-to-end machine translation pipeline. The pipeline accepts English text as input and return the French translation with an accuracy of 96.84%.

mlcourse.ai

Open Machine Learning Course

mp3playerwidget

Bugs fixed

optimising-public-transport

Simulate and Display the status of train lines in real time using Kafka and its Ecosystem

pos-tagger-hmm

Used the Pomegranate library to build a hidden Markov model (accuracy 95.96%) for part of speech tagging with a universal target.

rdbms-project

sf-crime-rate-spark

Statistical analyses of the SF Crime Rate data using Apache Spark Structured Streaming

speech-recognition-with-nn

Used the LibriSpeech dataset to train and evaluate a custom deep neural network using CNNs and Bidirectional RNNs, that functions as part of an end-to-end automatic speech recognition (ASR) pipeline to convert raw audio into feature representations like spectrograph and MFCC and finally convert them into transcribed text.

stonybook

Code for the Stony Book annotation pipeline

twitter-sentiment-analysis

Twitter Sentiment Analysis using Python and NLTK

udacity

This is collection of my solutions for homeworks and projects presented in various Udacity courses that I have completed.