poorvarane Goto Github PK

algowiki

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

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.

bilm-tf

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

c3d-tensorflow

caffe

Caffe

emotion-detector

A python code to detect emotions from text

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

linux

Linux kernel source tree

mb-project

MentorBuddy-Django project

mytrack

Automatically exported from code.google.com/p/mytrack

neural_question_generation

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

nightcanteen

A Java application was developed for the college night canteen to enable easy ordering of food and viewing the order status. An additional feature of an admin portal was also added to allow the owner of the night canteen update the order status.

nitkuora

A website just like the question answer forum, Quora.

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.

personal-website

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

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.

sentiment-discovery

Unsupervised Language Modeling at scale for robust sentiment classification

slate

Beautiful static documentation for your API

slingshot-simultation

A Projectile based game made using OpenGL

statistical-language-modeling

stick-breaking_dgms

Deep Generative Models with Stick-Breaking Priors

tag-prediction

Python code to predict tags for stackoverflow posts.