Sagar Joglekar's repositories
ExplainingUrbanEmotions
This is a repo of all the work done during my Summer intern at Nokia Bell Labs during 2017.
securityControllerApp
Security controller for Android. The app allows pairing and managing the security system
synthesizing
Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"
char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
chatbot-rnn
A toy chatbot powered by deep learning and trained on data from Reddit
d3GraphViz
Play around with D3 js to visualize graphs
DrawioDiagrams
place to have block diagrams from the PhD work
EThosTools
A Repo to help with initial analysis of Ethos research data
FaceliftGenerator
A repo to stage just the facelift generator and the models
happinessTwilio
Twilio happiness hack repo
hashCode2017
Google hashcode 2017 attempt. Greedy at best :)
mazesolving
A variety of algorithms to solve mazes from an input image
memes_pipeline
Memes Processing Pipeline that enables the track of memes across multiple Web communities.
myacademic.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
netSysCollab
Paper writing, Collaboration , document editing
pointer-generator
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
pytorch-graphsage
Representation learning on large graphs using stochastic graph convolutions.
SegNet-Tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
sentimentCascades
Work with sentiment cascade graphs
Treepedia_Public
Treepedia package for public use
twitter-crawler-java
Twittter Java crawler. The crawler reverse engineers twitter search query and gets tweets and history
twitter_crawlers
MixedEmotions module that connects to the Twitter Stream API in order to retrieve Tweets regarding certain keywords or phrases
word-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.