PoorvaRane

Emotion-Detector

A python code to detect emotions from text

Virtual-Fitting-Room

Emulate a virtual fitting room using Conditional Image-to-Image Translation

nitkuora

A website just like the question answer forum, Quora.

Slingshot-Simultation

A Projectile based game made using OpenGL

Tag-Prediction

Python code to predict tags for stackoverflow posts.

Textbox-Extraction

AlgoWiki

Repository which contains all the links and resources on different topics of Computer Science

neural_question_generation

Implementation of <Learning to Ask: Neural Question Generation for Reading Comprehension> by Xinya Du et al.

AttnGAN

Pytorch implementation for reproducing AttnGAN results in the paper AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks by Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He.

Semi-Supervised-GANs

Use GANs to generate images of tissues and cells. Leverage the learned representations and extend the discriminator to classify the tissue as cancerous and non-cancerous.

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

C3D-tensorflow

caffe

Caffe

gdrive

Google Drive CLI Client

Heart_Failure_Evaluation

A Machine learning system to evaluate the severity of a Heart Failure (HF) and predict the Heart Failure type.

Line-Extraction

MB-Project

MentorBuddy-Django project

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

NQG_ASs2s

Implementation of <Improving Neural Question Generation Using Answer Separation> by Yanghoon Kim et al.

PoorvaRane.github.io

A Jekyll theme with JavaScript powers.

pytorch-Conditional-image-to-image-translation

Pytorch implementation of Conditional image-to-image translation (CVPR 2018)

qandabot

A conversational bot for assisting in customer support. Hackathon bot.

R-Net

Tensorflow Implementation of R-Net

Ruby-Interpreter-in-Java

The project aims at developing an interpreter for a scripting language like Ruby. The interpreter will be coded in Java. This will be achieved by dividing the project into 3 phases: 1. Lexical Analysis 2. Parsing 3. Evaluating The inpreter will be able to interpret the following: • Declaration • Assignment • Basic arithmetic operations • Condition statements • Loops

sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

slate

Beautiful static documentation for your API

Statistical-Language-Modeling

stick-breaking_dgms

Deep Generative Models with Stick-Breaking Priors

wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

zeroclickinfo-goodies

DuckDuckGo instant answer plugins based on Perl functions