Urbana, Illinois, USA

Shubhanshu Mishra

Elite
@napsternxg

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

270

awesome-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.

204

pytorch-practice. Some example scripts on pytorch

196

TwitterNER. Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html

141

ReadLater. This is a google chrome extension for saving links for later reading.

107

DeepSequenceClassification. Deep neural network based model for sequence to sequence classification

76

ipython-notebooks. Some iPython Notebooks I have created for personal learning

65

deepwalk_keras_igraph. Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk

40

WikiUtils. A set of utility scripts to process Wikipedia related data

38

Udacity-Deep-Learning. Assignments for Udacity Deep Learning course using TensorFlow https://www.udacity.com/course/progress#!/c-ud730

27

coptermanager-arduino. coptermanager: arduino application which communicates with the quadrocopters

25

Kaggle-StackOverflow-Vis. Submission for Stack Exchange Kaggle Visualization Competition

16

bash-template-engine. A very simple template engine made in bash for showing help file and other config details.

8

Novelty. Quantifying conceptual novelty in the biomedical literature

8

PubMed_SelfCitationAnalysis. Repository of our paper on Self-citation analysis in PubMed data

8

neural-style. Torch implementation of neural style algorithm

7

awesome-generative-models. Awesome list of generative models which can generate realistic looking content. Aimed at creating awareness about deepfakes.

5

social-comm-temporal-graph. Social Communication Temporal Graph

5

SocialMediaDownloader. Simple script to download data from social media websites

5

DataAnalysisPython. Data Analysis using Python and Pandas

5

GET17_SNA. Social Network Analysis course

5

FacebookGroupVisual. D3 Project on Visualizing Facebook Group Data

4

haiku_rnn. Generating Haikus Using Char-RNN

4

IMDB-Graph. IMDB Actor Graph

3

ControversialTweetAnalysis. Analysis of controversial tweets

3

GenderPrediction. Experiments with predicting gender using US SSN data

2

WordNetExperiments. Experiments with the wordnet corpora

2

STAN-Tutorial. Stan tutorials using ipython notebook

2

Sentiments. Sentiment analysis python package for text and url

2

ConnectDots. A visualization framework for temporal categorical data

2

updown. Scala

2

TwitterSentimentBenchmarks. Analysis on twitter sentiment analysis benchmark datasets

2

WordLevelStatistics. Port of Perl module of same name

2

Citation_Context_Classification. Jupyter Notebook

2

til. Today I learned style repo for code-snippets or basic learnings

1

nltk-drt. Automatically exported from code.google.com/p/nltk-drt

1

DeepLearningNLP_CS224d. Assignments of Deep Learning NLP course from Stanford CS224d

1

Network-Analysis-Spring-2018. Network Analysis Spring 2018 - iSchool UIUC

1

MeshEmbeddings. Graph embeddings of MeSH terms

1

document-term-weighing. A repository using react to demo different document term weighting methods

1

Kruschke_DoingBayesianDataAnalysis. Assignments in form of notebooks from John K. Kruschke's - Doing Bayesian Data Analysis book

1

blog. Technical blog on data science, python, machine learning etc.

1

cookiecutter-uiucthesis. Cookiecutter template based off of https://github.com/mayhewsw/uiucthesis2014

1

i_Index. New paper importance metric based on temporal citation network

1

MAGIssues. Issues related to the Microsoft Academic Graph data

1

TopicModelling. Experiments on implementing probabilistic topic models

1

DataMiningPython. Data Mining python scripts for social scientists

1

doing-research. Notes on doing research and links to awesome resources

1

iSchool-discussion-group. Slides and code from iSchool discussion group

1
49
Apply