kmandyam Goto Github PK

attribute_transfer

Using methods from Delete, Retrieve, Generate: A Simple Approach to Style Transfer by Li et al. (2018) to incorporate syntactic structures into text generation via attribute transfer.

bubblebot

A messenger bot that helps you stay up to date with all sides of news conversations.

checkbot

An AI Bot capable of simplifying medical procedures through conversation. In order to run the bot, install the Microsoft Bot Emulator and launch the project in Edge.

checkstarter

A web application that attempts to solve the problem of complex medical procedures (and other procedures) through checklists.

cryptogram-solver

A program that attempts to solve cryptograms

data-visualization-512

delete_retrieve_generate

PyTorch implementation of the Delete, Retrieve Generate style transfer algorithm

gwc-mini-hackathon

A starter project for the Expedia Girls Who Code mini-hackathon.

hello-world

First practice repository

innovation-challenge

interviewpreparation

Interview problems and their solutions (mostly from Cracking the Coding Interview)

kmandyam.github.io

Personal Website

linguistic_preprocessing

natyaaveragechoreotool

Not your average dance choreography tool

nlpreferencegame

A natural language processing reference game created for a research project

nwhacks2017

A chrome extension that helps users discover their political echo chamber

russian-troll-tweet-classifier

Using BERT to classify tweets as originating from Russian troll bots

scheduler

Google Calendar and Google Keep integration to help me schedule my day

scrape

A chrome extension that attempts to scrape a user's messenger conversations to produce a conversational data set for training language models

set390p

vampire

Variational Methods for Pretraining in Resource-limited Environments

verbal-autopsy

Exploring pre-training techniques and stacked learning for Verbal Autopsy

wehack2017

A logistic regression classifier that predicts whether an employee will leave a company within the next pay period given certain statistics about the employee's experience