Researcher in Machine learning, Data Mining, Social Science, and Natural Language Processing Programming languages: Python, Java, and Java Script
awesome-causality. Resources related to causality
270awesome-scholarly-data-analysis. A curated collection of resources on scholarly data analysis ranging from datasets, papers, and code about bibliometrics, citation analysis, and other scholarly commons resources.
204pytorch-practice. Some example scripts on pytorch
196TwitterNER. Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html
141ReadLater. This is a google chrome extension for saving links for later reading.
107DeepSequenceClassification. Deep neural network based model for sequence to sequence classification
76ipython-notebooks. Some iPython Notebooks I have created for personal learning
65deepwalk_keras_igraph. Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk
40WikiUtils. A set of utility scripts to process Wikipedia related data
38Udacity-Deep-Learning. Assignments for Udacity Deep Learning course using TensorFlow https://www.udacity.com/course/progress#!/c-ud730
27coptermanager-arduino. coptermanager: arduino application which communicates with the quadrocopters
25Kaggle-StackOverflow-Vis. Submission for Stack Exchange Kaggle Visualization Competition
16bash-template-engine. A very simple template engine made in bash for showing help file and other config details.
8Novelty. Quantifying conceptual novelty in the biomedical literature
8PubMed_SelfCitationAnalysis. Repository of our paper on Self-citation analysis in PubMed data
8neural-style. Torch implementation of neural style algorithm
7awesome-generative-models. Awesome list of generative models which can generate realistic looking content. Aimed at creating awareness about deepfakes.
5social-comm-temporal-graph. Social Communication Temporal Graph
5SocialMediaDownloader. Simple script to download data from social media websites
5DataAnalysisPython. Data Analysis using Python and Pandas
5GET17_SNA. Social Network Analysis course
5FacebookGroupVisual. D3 Project on Visualizing Facebook Group Data
4haiku_rnn. Generating Haikus Using Char-RNN
4IMDB-Graph. IMDB Actor Graph
3ControversialTweetAnalysis. Analysis of controversial tweets
3GenderPrediction. Experiments with predicting gender using US SSN data
2WordNetExperiments. Experiments with the wordnet corpora
2STAN-Tutorial. Stan tutorials using ipython notebook
2Sentiments. Sentiment analysis python package for text and url
2ConnectDots. A visualization framework for temporal categorical data
2updown. Scala
2TwitterSentimentBenchmarks. Analysis on twitter sentiment analysis benchmark datasets
2WordLevelStatistics. Port of Perl module of same name
2Citation_Context_Classification. Jupyter Notebook
2til. Today I learned style repo for code-snippets or basic learnings
1nltk-drt. Automatically exported from code.google.com/p/nltk-drt
1DeepLearningNLP_CS224d. Assignments of Deep Learning NLP course from Stanford CS224d
1Network-Analysis-Spring-2018. Network Analysis Spring 2018 - iSchool UIUC
1MeshEmbeddings. Graph embeddings of MeSH terms
1document-term-weighing. A repository using react to demo different document term weighting methods
1Kruschke_DoingBayesianDataAnalysis. Assignments in form of notebooks from John K. Kruschke's - Doing Bayesian Data Analysis book
1blog. Technical blog on data science, python, machine learning etc.
1cookiecutter-uiucthesis. Cookiecutter template based off of https://github.com/mayhewsw/uiucthesis2014
1i_Index. New paper importance metric based on temporal citation network
1MAGIssues. Issues related to the Microsoft Academic Graph data
1TopicModelling. Experiments on implementing probabilistic topic models
1DataMiningPython. Data Mining python scripts for social scientists
1doing-research. Notes on doing research and links to awesome resources
1iSchool-discussion-group. Slides and code from iSchool discussion group
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